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774 key terms and formulas from our research papers, organized alphabetically. Filter by paper to explore specific concepts.

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A-temporal Optimisation

PPPMEC Section 3.3

Market optimisation that is structurally indifferent to temporal horizon. Discount rates, quarterly reporting, and exit-oriented investment compress optimisation windows, but the deeper issue is architectural—markets lack mechanisms to bind current exchange to long-horizon welfare.

Example

Infrastructure investment is systematically underprovided not because markets fail but because a-temporal optimisation correctly identifies that 50-year returns cannot compete with 5-year returns within existing architecture.

Accountability Continuity

COASection 5.4: Accountability Continuity

The fourth core function of COA: preserving accountability across hybrid decision systems. Ensures responsibility remains assignable regardless of system involvement, persists across model upgrades and vendor changes, and remains reclaimable even after prolonged delegation. Without accountability continuity, responsibility dissolves across interfaces.

Example

Accountability continuity requires: clear documentation of which human roles retain responsibility for which decision classes, accountability maps that survive vendor transitions, and mechanisms for reclaiming authority when systems are removed or fail.

Accountability Display

CEA-PGPG Section 5

The performance of accountability for external audiences without internal accountability practices. Displays create the appearance of being accountable without the constraints of actual accountability.

Example

A detailed impact report is published annually, praised by donors, and filed. No one inside the organisation reads it or acts on its findings. The display served its purpose—external legitimacy.

Accountability for Update

ILAILA Section 4.5

Governance structures that track whether learning actually resulted in institutional change. Unlike accountability for activity (training completed, reports written), accountability for update measures whether the organisation operates differently as a result of learning.

Example

A Learning Authority reports not just 'learning activities completed' but 'institutional changes implemented as result of learning'—with consequences for failure to implement validated insights.

Accountability Void

AMIAMI Section 5

The absence of mechanisms connecting decisions to their consequences when authority has rotated. Traditional accountability assumes the same entity decides and experiences results; AMI breaks this assumption.

Example

Who is accountable for infrastructure that fails 30 years after construction decisions? The deciding authority is gone; current authority didn't decide. The void means no one is accountable.

Accounting as Decision Architecture

PPPABS Section 1

The recognition that public-sector accounting does not merely record decisions but actively structures which choices are thinkable, defensible, and institutionally permissible. By defining what counts as asset or liability, when obligations must be recognised, and over what time horizon costs are visible, accounting frameworks shape the fiscal reality within which governments operate.

Example

A government considering two economically equivalent delivery models will systematically favour the one that defers recognition or shifts obligations off balance sheet, not because of policy preference, but because accounting makes one appear 'responsible' and the other 'fiscally demanding.'

Accounting Blind Spot

PPPABS Section 5

The structural absence within public-sector accounting of categories for capital continuity, mission cycles, and deferred fragility. Public accounting was designed for annual fiscal discipline and debt control, not for representing long-horizon capital that must persist, regenerate, and remain mission-aligned across decades. This blind spot is epistemic rather than technical—arising from missing concepts, not poor measurement.

Example

Accounting systems can record when an asset was acquired and its depreciation schedule, but cannot represent whether a hospital's diagnostic equipment is still fit for purpose, whether maintenance has been deferred, or whether the asset aligns with evolving health service needs.

Action Chain

CEA-LTELTE Section 6

The sequence of steps required to translate a decision into reality. Long action chains with many handoffs accumulate distortion and delay; short chains preserve decision integrity.

Example

Decision → Department head interpretation → Manager instruction → Supervisor implementation → Worker action. Each handoff in this chain adds distortion; the final action may barely resemble the decision.

Active Injustice

LGITLGIT Section 6.4

LGIT category for ongoing harm that demonstrably persists at significant magnitude, requiring renewed and empowered grievance authority. Distinguished from legacy grievance or residual disparity.

Example

Documented patterns of current exclusion or discrimination that can be empirically verified and require active corrective intervention.

Active Injustice

LGITLGIT-PEPG Section 4.1

Ongoing harm that requires renewed corrective authority. Distinguished from extractive grievance by the presence of continued measurable harm and the appropriateness of continued corrective measures. The legitimate basis for grievance-derived authority.

Example

Documented, current discrimination that produces measurable disparate outcomes—warranting corrective authority proportional to ongoing harm.

Adaptation Finance

ClimateClimate Section 1.3

Funding for climate change adaptation (preparing for impacts) rather than mitigation (reducing emissions). Requires patient, non-extractive capital because returns are measured in avoided losses over decades, not financial yields.

Example

Building a seawall costs $50M today but prevents $500M in flood damage over 50 years. Traditional finance struggles because returns are loss-avoidance, not revenue. PSC-G enables this.

Additive Logic of Rules

Pre-GovPre-Gov Section 3.2

The dynamic of post-hoc governance where each problem produces a new rule to prevent recurrence, without removing existing rules or re-specifying the underlying decision space. Over time, rules accumulate faster than they can be interpreted, and compliance becomes a specialised profession rather than shared practice.

Example

A bank's compliance manual grows from 200 to 2,000 pages over a decade as each audit finding produces new requirements, but the fundamental question 'what is this institution for?' remains unanswered.

Administrative Overhead

AoEAoE Section 4.1

The first hidden cost of enforcement-based systems. Resources spent on monitoring, auditing, reporting, and compliance verification. These costs can consume 15-30% of program budgets in traditional grant systems. AoE designs eliminate most administrative overhead by making compliance natural rather than monitored.

Example

Traditional grant compliance requires quarterly reports, site visits, and financial audits. PSC compliance is self-documenting—if capital recycles, the system is working. Administrative cost approaches zero.

Advisory Capture

Family OfficesFamily Offices Section 13

The situation where external advisors' interests dominate family office decisions because family members lack the expertise to evaluate advice critically. The family becomes dependent on advisors who may have conflicting incentives.

Example

Investment advisors paid by commission recommend frequent strategy changes. The family cannot evaluate whether changes serve their interests or generate advisor fees.

Advisory vs Authoritative

COASection 5.2: Authority Accumulation Control

The distinction between AI systems that inform human decisions (advisory) and systems whose outputs effectively determine decisions (authoritative). Most AI systems are introduced as advisory but migrate to authoritative through use, without explicit recognition of the transition. COA makes this distinction governable.

Example

A system is advisory when humans regularly exercise independent judgment regardless of its output. It has become authoritative when deviating from its recommendations requires justification while following them does not. The transition often occurs without anyone noticing.

Aesthetic Value vs Exchange Value

Art MarketArt Market Section 6

The fundamental tension between art's cultural significance and its market price. These values operate through different logics—aesthetic value is debated among experts and communities; exchange value emerges from transactions and speculation.

Example

An artist may be considered historically important (high aesthetic value) while commanding low prices, or vice versa. The market cannot resolve which assessment is correct because they measure different things.

Agency Theory

AcademicSee: Commitment Architecture, Temporal Asymmetry

The study of relationships where one party (agent) acts for another (principal), central to corporate governance and organisational economics. IRSA extends agency theory temporally: the principal-agent problem is most severe when agents' time horizons differ from principals'. Commitment Architecture can bind agents to longer horizons structurally.

Example

CEOs with short tenure make decisions harmful to long-term shareholders. Standard agency theory suggests better incentives. IRSA's Commitment Architecture suggests structural binding—making certain long-term-harming actions architecturally impossible.

Aligned Vehicle Scarcity

Family OfficesFamily Offices Section 15

The shortage of investment options that match family office time horizons, values, and governance preferences. Most financial products are designed for shorter horizons and different investor types.

Example

A family office seeking 50-year investments in sustainable infrastructure finds almost nothing—investment products assume 10-year horizons and return-maximisation objectives.

Alignment Capital

ACAA Section 1.2

Capital deployed in temporal alignment with beneficiary lifecycle needs. Unlike debt that demands repayment regardless of circumstances, alignment capital flows when beneficiaries are in need and recycles when they have capacity.

Example

A student receives education funding during study (need period) and pays forward after career establishment (capacity period)—not during the stress of immediate graduation.

Alignment ConstitutionA_gov ↦ A_PSC-G

OAIAOAIA Section 8.7

A constitutional constraint that transforms political alignment operators to commute with mission operators. PSC-G cycle constitutions enforce [A_PSC-G, A_mission] = 0, preventing political cycles from interfering with infrastructure, climate, or health missions.

Example

An alignment constitution for climate adaptation transforms the political operator so elections cannot disrupt 10-year pump replacement schedules. The algebra guarantees temporal integrity across electoral cycles.

Alignment IndexAlign(K)

OAIAOAIA Section 5.2

A norm-based measure of how closely institutional capital-cycle behaviour approximates perfect mission alignment. Values range from 0 (fully fragility-governed) to 1 (perfectly aligned). The index equals one minus the normalised distance from mission behaviour.

Formula
Align(K) = 1 - |E(K)|/|K|
Example

A hospital with Align(K) = 0.3 has 70% of its capital behaviour governed by fragility cycles—most equipment renewals miss optimal windows. Align(K) = 0.9 means only 10% deviation from mission-aligned capital.

Alignment OperatorΛ (Lambda)

RCARCA Section 3.2

The operation that synchronises capital cycles with mission cycles. A system satisfies Λ when capital operates on the same timescale as the mission it serves—matching asset lifetimes, research timelines, or climate recurrence intervals.

Example

A 30-year medical equipment fund matches the equipment lifecycle: deploy, use, generate revenue, pay forward, redeploy. The capital cycle (30 years) aligns with the mission cycle (equipment lifetime).

Alignment OperatorΛ

GERCGERC Section 2.2

A structural operator that synchronizes capital flows with mission cycles—the natural rhythm of regenerative activity (education cohorts, infrastructure lifecycles, ecosystem restoration). The Λ-operator ensures resources arrive when missions can absorb them productively.

Formula
Λ(K, M) synchronizes K-flows with M-cycle timing
Example

A scholarship fund with strong Λ-properties disburses at semester boundaries when students can use funds, not at fiscal year-end when budgets must clear—the timing aligns with educational mission cycles.

Alignment OperatorΛ : 𝒦* → M

OAIAOAIA Section 2.3

The operator that synchronises fragility-free capital to mission cycles. Λ enforces period matching (correct recurrence interval), phase matching (correct timing), and amplitude matching (sufficient capital quantum). It is a synchronisation operator, not merely a projection.

Formula
T(K*) = T(M), φ(K*) = φ(M), A(K*) = A(M)
Example

Λ takes decoupled climate capital and aligns it to 10-year pump replacement cycles—ensuring capital arrives before failure windows, in sufficient quantity, at the right phase of the infrastructure lifecycle.

Alignment Operator (Λ)Λ (Lambda)

ACAA Section 2.4

Measures how well capital deployment matches beneficiary lifecycle phases. High Λ means funding arrives when needed and recycling occurs when capacity exists. Λ = 1 represents perfect alignment.

Formula
Λ = Σ(funding × need_match) / Σ(funding)
Example

A scholarship that covers tuition during study years and expects pay-forward after 5+ years of employment has Λ ≈ 0.9. A loan requiring payments during study has Λ ≈ 0.3.

Alignment Operator (Λ) - RC-WDΛ (Lambda)

RC-WDRC-WD Section 3.2

The operation that synchronises capital cycles with mission cycles. When K(t) = M(t), capital operates on the same timescale as the mission it serves. Healthcare capital matches healthcare timelines; infrastructure capital matches infrastructure timelines.

Formula
K(t) = M(t)
Example

A 30-year infrastructure program gets 30-year capital, not annual budget allocations. The capital cycle length matches the mission cycle length, eliminating temporal misalignment.

Alignment ScoreS_Λ

R*R* Section 3.2

Measures how well capital flows are synchronized with mission cycle requirements. High S_Λ means funding matches the timing of impact needs; low S_Λ indicates temporal mismatch between resources and requirements.

Formula
S_Λ ∈ [0, 1]
Example

Vienna Housing has S_Λ ≈ 0.85 (funding matches long-term housing lifecycle). Annual grant-dependent programs have S_Λ ≈ 0.25 (funding cycle mismatched with mission needs).

Alignment TransformA = Λ ∘ Δ

OAIAOAIA Section 3.1

The composite operator that projects raw capital-cycle behaviour into the mission-aligned subspace. First Δ removes fragility dependencies, then Λ synchronises the result to mission cycles. The alignment transform is projection-like: A² ≈ A.

Formula
A(K)(t) = Λ(Δ(K))(t)
Example

Applying A to hospital capital transforms budget-driven cycles into equipment-renewal cycles. Raw capital governed by annual budgets becomes capability-sustaining capital matched to 5-7 year MRI replacement schedules.

Allocation Rule

GERCGERC Section 2.2

The component of regenerative equilibrium specifying how resources are distributed across agents and missions. Combined with a cadence rule, an allocation rule defines a complete regenerative allocation—answering both 'how much' and 'when' for each flow.

Example

An allocation rule might specify that 30% of recycled capital goes to education, 40% to housing, 30% to healthcare—but without a cadence rule, we don't know when these flows occur.

Anti-Learning

ILAILA Section 2

The default mode of institutional operation where learning-like activity happens but genuine update does not. Activity substitutes for update: training programs run, reports get written, feedback is collected, but the institution itself doesn't change. Anti-Learning is structural, not intentional.

Example

A company conducts annual employee surveys, publishes results, forms committees—but nothing changes year after year. The institution is in Anti-Learning mode: activity without update.

Anti-Learning Lock-In

ILAILA-LLR Section 3

A stable equilibrium state where institutions cannot escape anti-learning even when aware of it. Lock-in occurs when the costs of learning (legitimacy threat, authority erosion) exceed perceived benefits at every decision point—making non-learning locally rational even when globally destructive.

Example

A regulator knows its model is outdated but updating would invalidate past decisions, expose liability, and threaten careers. Every actor faces incentives to maintain the status quo, even as collective harm accumulates.

Anti-Learning Regime

ILAILA-ALR Section 2

An organisational configuration where updating is structurally suppressed despite abundant feedback. Unlike Anti-Learning (activity without update), an Anti-Learning Regime is a stable equilibrium—the institution has optimised against learning. Evidence accumulates but beliefs do not change; feedback mechanisms exist but produce no update.

Example

A regulatory agency in an Anti-Learning Regime: it collects industry data, publishes reports, holds consultations—but its models never update. Not because staff are incapable, but because the institutional architecture rewards model stability over accuracy.

Anti-Learning RegimeALR

ILA-ALRALR Section 1

An institutional configuration that systematically prevents evidence from updating beliefs or changing practices. ALRs are not merely failing to learn—they actively resist learning through structural mechanisms that filter, reframe, or suppress disconfirming information.

Example

A development agency that evaluates its own programs using metrics it designed, with evaluators it employs, facing incentives to show success, operates as an ALR—the structure prevents learning regardless of individual intentions.

AoE Boundary Conditions

AoEAoE Section 7

The limits of ease-based design. AoE works when: (1) preferred and non-preferred actions are distinguishable, (2) system designer controls friction factors, (3) future access has positive value, (4) identity can be shaped through system participation. When these conditions fail, traditional enforcement may be necessary.

Example

AoE works well for capital recycling (clear actions, designer controls flows). AoE works less well for preventing violence (hard to make non-violence 'easier' than violence in conflict zones).

Architectural Absence

Art MarketArt Market Section 2

The condition where essential institutional infrastructure never developed, leaving market participants to improvise solutions that cannot substitute for proper architecture. Unlike decay from an established state, architectural absence means the foundation was never built.

Example

The art market lacks the price transparency infrastructure common in financial markets—there was never a period when auction results were systematically public; the opacity is original, not a corruption of prior transparency.

Architectural Commitment

CEACEA Section 3.2

A commitment designed to constrain by structure rather than willpower. Architectural commitments embed the five CEA primitives into governance design, making violation difficult, visible, and costly regardless of who holds authority.

Example

A carbon budget embedded in corporate charter with automatic escalation triggers, independent verification, and board liability—the commitment constrains behaviour structurally, not through policy statements.

Architectural Drift

IOASection 6: What IOA Is Not

Gradual, often invisible degradation of institutional operating architecture through accumulated small compromises, personnel changes, and environmental shifts. Architectural drift is dangerous because no single change is visible as failure—the institution functions until stress reveals accumulated degradation. IOA monitoring detects architectural drift before crisis.

Example

A professional body's ethics review process still exists but has drifted: experienced reviewers have left, documentation has lapsed, escalation pathways are unclear. Each change was minor; accumulated, they've hollowed the process. Drift is revealed only when a significant case exposes the degradation.

Architectural Evaluation

CEACEA-LTE Section 5.1

A diagnostic approach that asks which architectural link in the action chain is missing, weakened, or bypassable—rather than evaluating outcomes, compliance, or intent. Treats institutions as systems with identifiable failure points rather than black boxes.

Example

Rather than asking 'Why did this policy fail?' ask: Is learning protected from legitimacy threat? Do commitments bind future decision-makers? Are enforcement mechanisms symmetric? Can action persist through turnover?

Architectural Lock-In (Digital Markets)

DMDM Section 7

Stability in complex systems more often reflects lock-in than optimality. Network effects, path dependence, incumbent advantage, coordination problems, and absence of viable alternatives contributed to advertising's entrenchment—it persisted not because it was best, but because it was alone.

Example

'Free at the point of use' became not merely a feature but a cultural baseline. New entrants were judged against incumbents that had already amortised costs and normalised advertising-funded access.

Architectural Parametersθ ∈ Θ

FRSFRS Section 2.5

The capital, temporal, and governance parameters that determine whether a system behaves regeneratively or degeneratively. The same institution can be extractive or regenerative depending on θ—architecture induces the regime change, not intentions or management quality.

Example

A university's architectural parameters include its endowment structure (PSC vs traditional), funding cycle alignment (RCA conditions), and governance rules. Changing θ transforms the same institution from extractive to regenerative.

Architectural Precondition

COASection 9: Conclusion

A structural requirement that must be in place before other governance mechanisms can function effectively. COA argues that it represents an architectural precondition for AI governance: without the operating architecture governing delegated cognition, safety, ethics, and compliance mechanisms cannot preserve institutional authority.

Example

An ethics review process exists, but it evaluates whether the model is fair, not whether the institution retains authority. Compliance exists, but it verifies documentation, not accountability continuity. These mechanisms need COA as an architectural precondition to be effective.

Architectural Primitive

INAINA Section 3.6

The fundamental structural requirement that idea-native architecture provides: meaning is represented explicitly, related structurally, and preserved independently of the containers that enact it. This primitive is what container-centric governance lacks.

Example

Just as databases require the relational primitive (tables, keys, joins) to function, idea-native governance requires the semantic primitive (ideas, typed relationships, provenance) to maintain purpose under motion.

Architectural Truthfulness

LGITLGIT Section 2.6

The design of institutions that can acknowledge constraint without losing coherence—enabling scoped participation rather than universal pretence, and embedding learning and revision as normal operations rather than crisis responses. The alternative to 'living within a lie'.

Example

An institution practicing architectural truthfulness might state: 'We can enforce this commitment among these members, under these conditions, with these revision mechanisms'—rather than claiming universal jurisdiction it cannot sustain.

Architecture for Intent Persistence

IMGIMG Section 4

The structural separation of purpose, organisational form, and authority as distinct layers with defined relationships. Purpose does not reside inside the organisation; it exists outside it as a reference point to which the organisation must continually relate. This allows intent to persist under change.

Example

When a charity restructures from a single entity to a network of affiliates, the intent object remains stable outside all entities, and each affiliate's relationship to that intent is explicitly governed.

Architectures of Ease

AoEAoE Section 1

A behavioural-systems theory of enforcement-free compliance. Rather than forcing desired behaviour through monitoring and punishment, AoE designs systems where the preferred action is simply the easiest action. Core thesis: 'People don't rise to the level of their values; they fall to the level of their systems.'

Example

Spotify's subscription model achieves near-zero piracy not through DRM enforcement but by making legal streaming easier than torrenting. The architecture of ease eliminates the friction differential.

Aspirational Horizon Archetype

CEACEA-PG Section 4.2

Second performative governance archetype placing commitments beyond enforceable temporal reach. Targets set decades ahead without intermediate binding checkpoints; rolling deadlines that advance with each review cycle; reliance on future conditions to enable delivery.

Example

Net-Zero 2050 targets without binding 2025 or 2030 intermediate commitments. The aspirational horizon preserves narrative ambition while insulating current decision-makers from execution responsibility.

Assets Without Mission Context

PPPABS Section 3.3

The condition where capitalised public assets are treated as generic balance-sheet items disconnected from the mission systems they support. Depreciation schedules reflect accounting conventions rather than operational reality. Two assets with identical book values may have radically different implications for service continuity, resilience, or public risk.

Example

A hospital imaging machine nearing functional obsolescence appears identical on the balance sheet to one recently renewed, provided depreciation schedules align. Accounting records age, not capability; cost, not readiness; ownership, not function.

Asymmetric Participation

IOASection 4.1: Participation and Procedural Legitimacy

A participation failure where some voices are structurally amplified while others are structurally muted, regardless of the merits of their positions. Asymmetric participation corrupts institutional learning by biasing information flows. IOA identifies and corrects asymmetric participation before it causes systemic distortion.

Example

A hospital's quality improvement process structurally favours physician voices over nursing voices, not through explicit policy but through meeting scheduling, documentation requirements, and professional hierarchies. The resulting 'improvements' miss nursing-visible problems.

Asymmetry IndexAI

LGITLGIT-MFC Section 3.3

The degree to which grievance-based systems produce unequal exposure to scrutiny, cost, or constraint. In corrective regimes, asymmetry is bounded and proportional; in fragile regimes, asymmetry becomes structurally entrenched and disconnected from empirical harm.

Formula
AI ↑ when: accountability is unidirectional, protected categories cannot be challenged, scope expands without efficacy demonstration
Example

A high asymmetry index emerges when grievance authority expands to adjacent domains while exemptions from scrutiny also expand—accruing power without reciprocal accountability.

Atomic Ideas

INDSection 4.1: Atomic Ideas

Ideas disaggregated to the smallest pragmatically useful level—reusable across contexts without requiring decomposition. Atomic ideas can be recombined and linked, enabling richer navigation than compound concepts.

Example

'The sublime' is an atomic idea. 'Burke's theory of the sublime in relation to Romantic poetry' is compound—it combines atomic ideas (the sublime, Burke, Romantic poetry) through relationships. Atomic ideas enable navigation; compound concepts lock understanding into single formulations.

Attention Economy

InternetInternet Section 5

An economic system where attention is the scarce resource that determines value allocation. When direct payment for content is difficult, attention becomes the proxy currency, and capturing attention becomes the business model.

Example

A creator's revenue depends not on quality but on engagement metrics. This creates incentives for outrage, controversy, and addiction patterns—whatever captures attention, regardless of social value.

Attention Fragility Cycle

DMDM Section 5

Advertising cycles exhibit all characteristics of fragility cycles: short-horizon (metrics over minutes/hours), volatility-seeking (novelty/conflict spike attention), extractive (attention captured without responsibility for effects), zero-sum at scale (finite aggregate attention), and scale-rewarding (centralisation incentives).

Example

Meaning systems are inherently cumulative, relying on trust, continuity, and gradual refinement. When subjected to short, volatile, extractive cycles, these properties erode predictably.

Attention to Agency Shift

DMDM Section 9

AI generates value through task completion rather than engagement—measured in services rendered, problems solved, processes executed. Revenue decouples from continuous interaction; economic exchange becomes endogenous; meaning propagation favours precision over amplification.

Example

AI systems can price, transact, and settle autonomously, collapsing the distance between value creation and value capture. Persuasion becomes optional rather than foundational.

Attention-Meaning Coupling

DMDM Section 4

The structural binding of public meaning systems to attention cycles. Under advertising governance, meaning is no longer governed primarily by accuracy or coherence, but by its capacity to generate interaction within short temporal windows.

Formula
Engagement rewards: salience over coherence, novelty over continuity, scale over context, volatility over stability
Example

Content that provokes emotional response outperforms content requiring sustained cognitive effort—complexity is simplified, uncertainty is flattened, nuance is penalised.

Audit Fatigue

SFSF Section 1.2

The condition of high compliance cost, low confidence, and strategic minimalism that arises when systems demand continuous reconstruction of meaning. Occurs even where no deception is intended, because meaning was never structurally preserved in the first place.

Example

An impact fund spends 15% of operating budget on reporting across 6 different ESG frameworks, yet investors still question whether stated outcomes match actual intent. More reporting produces more skepticism, not more trust.

Audit Inflation

PPPGDS Section 7

The pattern where governance effort increases while institutional trust and alignment decline. Audit volume is inversely correlated with decision surface quality—organisations drowning in oversight are rarely over-governed; they are under-architected.

Formula
Growth in audit volume signals weak pre-governing, not strong governance
Example

A compliance department that doubles in size over five years while failures continue recurring is experiencing audit inflation—post-hoc mechanisms expanding to compensate for missing ex-ante constraints.

Audit-Dominant Archetype

ILAILA-ALR Section 4.2

One of five Anti-Learning Regime archetypes. An institution where audit and compliance functions have crowded out learning functions. Resources flow to verification rather than update. The institution knows whether procedures were followed but not whether outcomes improved.

Example

A healthcare system where 40% of clinician time goes to documentation and compliance, leaving no capacity for quality improvement. Audit metrics are excellent; patient outcomes plateau.

Authorised Options

PPPGDS Section 4

Actions that have been positively validated as legitimate within the institution's intent and invariants. Distinguished from merely permissible options (not explicitly forbidden) and imagined options (conceivable but not evaluated). The governed decision surface contains only authorised options.

Example

A grant-making foundation distinguishes between what applicants might request (imagined), what rules don't prohibit (permissible), and what has been positively authorised by the board (authorised). Only the last category belongs on the decision surface.

Authority Accumulation

COASection 5.2: Authority Accumulation Control

The process by which AI systems gain de facto authority through repeated use, without explicit governance decisions. What begins as advisory support gradually becomes decision infrastructure as outputs become defaults, defaults become norms, and norms become requirements. Authority accumulates implicitly through habit, efficiency pressures, and perceived objectivity.

Example

No formal resolution declared the model authoritative. But managers now ask why officers overrode the recommendation, not why the model recommended. Authority accumulated through use: outputs became defaults, defaults became norms, norms became requirements.

Authority Accumulation Control

COASection 5.2: Authority Accumulation Control

The second core function of COA: governing how authority accumulates from repeated use. Includes mechanisms to distinguish advisory from authoritative outputs, detect when reliance crosses thresholds, prevent authority laundering, and require explicit recognition when a system's institutional role changes.

Example

Authority accumulation control might include: quarterly reviews of override rates (low override rates may indicate authority drift), explicit thresholds requiring governance review when output acceptance rates exceed 90%, and mandatory re-authorisation when system roles expand.

Authority Asymmetry

CEACEA Section 4.3

The third CEA failure mode: those who make commitments aren't subject to them; those subject to them didn't make them. Creates fundamental misalignment between commitment-makers and commitment-bearers.

Example

Executive compensation tied to metrics that executives themselves can redefine. Politicians making 30-year climate commitments that bind future governments but not themselves.

Authority Capture

AMIAMI Section 7

The process by which short-term interests dominate long-term missions by controlling the authority appointment process. When authority cycles are short, those who benefit from short-term decisions capture the appointment mechanism.

Example

Political donors who benefit from deferred maintenance get their preferred candidates appointed. These appointees defer maintenance during their tenure, then rotate out before consequences appear.

Authority Collapse into Discretion

PPPIF Section 3

The structural condition where governance systems fail to distinguish between authority to decide and authority to steward. Authority is granted to decision-makers but commitments are not bound to time—when authority resets, so does institutional memory. Discretion dominates because continuity is optional.

Example

A board empowered to 'govern' the institution can redirect, reinterpret, or abandon any prior commitment because governance frameworks specify who may act, but not what must persist.

Authority Continuity

PPPIF Section 5

The architectural condition where certain institutional commitments persist across leadership, political, and organisational cycles independent of who holds office. Distinguishes between flexible operational discretion and non-discretionary stewardship obligations that bind authority to time rather than to individuals.

Example

A foundation with authority continuity has encoded obligations to maintain certain programs across leadership transitions—new executives inherit these obligations whether or not they share the original intent.

Authority Conversion Mechanisms

LGITLGIT-PEPG Section 3

The structural channels through which grievance capital converts to institutional authority: (1) Enforcement Asymmetry—differential application of rules based on grievance status, (2) Regulatory Privilege—preferential access to rule-making, (3) Jurisdictional Capture—expansion of grievance authority into adjacent domains.

Example

Grievance claims that secure enforcement discretion (asymmetry), input on regulations affecting the grievance domain (privilege), and authority over related policy areas (capture)—compounding returns from initial grievance investment.

Authority Cycle

AMIAMI Section 2

The recurring temporal pattern governing who holds decision-making power and how long they hold it. Political authority cycles follow election schedules; corporate authority follows board terms; philanthropic authority follows donor lifetimes.

Example

A government minister holds authority for an average of 2.3 years. Any decision requiring longer than 2.3 years to show results will be made by someone who won't experience the consequences.

Authority Drift

COASection 3.3: The Ungoverned Zone

The gradual, often invisible shift of decision authority from intended locus (usually human) to actual locus (often machine or machine-mediated). Authority drift is the central phenomenon COA addresses: authority changes without being governed, without formal decisions, through accumulated reliance.

Example

The board still approves strategy. But the AI system's forecasts shape which strategies are considered viable, which risks are highlighted, and which opportunities are surfaced. Formal authority remains with the board; practical authority has drifted to the system.

Authority Fragility (Learning)

ILAILA-Core Section 6

One of four dominant learning fragility cycles: learning destabilises decision rights, hierarchies, or governance arrangements. When updating evaluation models threatens tenure, status, and hierarchy, institutions suppress learning to preserve existing authority distributions.

Example

Universities exhibit authority fragility—updating evaluation models threatens existing hierarchies. Symptoms include metric gaming, publication inflation, and suppressed dissent.

Authority Inertia

LGITLGIT-LD Section 3.3

The pattern where institutional authority persists through procedural momentum after its empirical justification has eroded. Authority continues because it was never designed with expiration mechanisms, not because ongoing evidence supports it.

Example

A regulatory body created for a specific crisis continues operating decades later with full authority, even though the original problem has been substantially resolved.

Authority Inflation

LGITLGIT-LD Section 4.2

The expansion of institutional authority beyond its original scope of justification. What was established to address a specific harm extends to adjacent domains, often without new justification being required for each expansion.

Example

A body established to address discrimination in hiring gradually extends authority to promotion, retention, organisational culture, speech norms, and external partnerships—each expansion accepted because initial authority was legitimate.

Authority Investments

ILAILA-EBD Section 2.2

The accumulated commitments that create institutional legitimacy: foundational narratives (why we exist), precedent chains (our past decisions were correct), identity commitments (who we are), and authority structures (who decides). These investments make learning risky—the more invested, the more dangerous evidence becomes.

Example

A central bank's authority investment in inflation-targeting creates resistance to evidence that the framework needs revision. Admitting error threatens decades of policy justification and current authority.

Authority Laundering

COASection 6.3: Authority Laundering

A failure mode where decisions are justified by reference to system outputs ('the model said so') while responsibility is disclaimed because the system merely 'advised.' This creates structural asymmetry: authority flows toward the system while accountability flows away from it. No actor formally owns the decision, yet the decision is treated as objective.

Example

When a loan denial is challenged, the officer says they followed the model; the model was approved by risk; the data came from vendors; training occurred elsewhere. Authority was exercised through the system, but no one is accountable for the decision.

Authority Lock-In

LGITLGIT-MFC Section 2.2

A condition in which grievance-derived authority is insulated from the updating processes that govern other institutional inputs. Arises naturally when grievance is treated as categorically distinct from capital, learning, or legitimacy.

Example

Once locked in, grievance authority exhibits fragility dynamics: feedback reframed as moral threat, corrective measures becoming self-justifying, and asymmetry widening over time.

Authority Migration

COASection 3.3: The Ungoverned Zone

The gradual, often invisible transfer of decision authority from human actors to machine systems through accumulated reliance. Authority migration occurs without formal governance decisions—it emerges through efficiency pressures, consistency preferences, and the practical difficulty of overriding embedded systems.

Example

The lending committee still technically approves all loans. But they haven't rejected a model recommendation in two years. Authority has migrated: the committee retains formal authority while the model holds practical authority. No one decided this; it emerged through use.

Authority Without Alignment

CEACEA-LTE Section 4.4

A partial architecture where authority is exercised without alignment preservation across time. Produces reinterpretation of commitments by successors, erosion of constraints through procedural drift, and capture by actors with superior endurance. Outcomes become path-dependent on leadership personalities rather than institutional design.

Example

A regulatory mandate reinterpreted by each new administration to serve different purposes. The institution appears active in the short term but loses coherence over longer horizons.

Authority-Accountability Mismatch

COASection 5.4: Accountability Continuity

A structural condition where decision authority and decision accountability are held by different actors due to cognitive delegation. AI systems may hold practical authority while humans retain formal accountability, creating situations where accountable parties cannot control what they're accountable for.

Example

The department head is accountable for hiring outcomes. But hiring recommendations come from a system she doesn't understand, using criteria she didn't set, trained on data she can't audit. She's accountable for outcomes she cannot meaningfully control.

Authority-Evidence CouplingAEC

ILAILA-ALR Section 3.4

A diagnostic metric measuring the relationship between evidence strength and update authority. Low AEC means evidence quality has little bearing on whether updates occur—authority structures dominate. High AEC means strong evidence can mandate change regardless of hierarchical position.

Example

In a low-AEC organisation, junior staff can have overwhelming evidence but cannot mandate change. In a high-AEC organisation, evidence quality determines update authority—a junior analyst with strong data can override senior assumptions.

Authority-Locked Archetype

ILAILA-ALR Section 4.3

One of five Anti-Learning Regime archetypes. An institution where authority structures prevent evidence from reaching decision-makers or prevent decisions from being questioned. Hierarchical position determines truth-status. Learning requires authority; evidence alone is insufficient.

Example

A CEO-centric company where strategic direction cannot be questioned regardless of market feedback. Mid-level managers see the problem clearly but cannot surface it. Authority has locked out evidence.

Authority-Safe Update Channels

ILAILA-EBD Section 4.2

Pathways for institutional update that don't threaten the legitimacy structure. These channels frame learning as refinement rather than correction, evolution rather than reversal—allowing evidence integration without undermining authority investments.

Example

Framing policy change as 'building on previous work' rather than 'correcting previous errors' creates an authority-safe channel for the same update.

Authority–Choice Separation

PPPGDS Section 3

The critical distinction between authority (the power to determine which actions are legitimate) and choice (the act of selecting among authorised options). Authority is exercised in defining the decision surface; choice occurs safely within it.

Example

A foundation separates authority (trustees define which grant categories are permissible) from choice (program officers select among applications within those categories). Delegation becomes safe because the surface is governed.

Authority–Mission MisalignmentAMI

AMIAMI Section 1

The structural condition where the locus of decision-making authority is incompatible with the temporal requirements of the mission. Authority cycles (political, financial, organisational) operate on different timescales than mission cycles, creating fundamental governance failure.

Example

A 50-year infrastructure project governed by 4-year political appointments exhibits severe AMI—the authority to make decisions about the project rotates faster than the decisions can show results.

Backlash Dynamics

LGIT-MFCMFC Section 5

The predictable negative reaction that follows moral overreach. Backlash often overshoots, attacking not just the overreach but the legitimate core of the original position.

Example

Excessive enforcement of a norm creates resentment that targets not just enforcement methods but the norm itself. The backlash doesn't restore balance; it creates opposite excess.

Balance Sheet Impact

PSCPSC Section 5.2

How capital appears on beneficiary financial statements. PSC creates no liability (unlike loans), preserving borrowing capacity and credit standing.

Example

A small business receives $50,000 PSC. Their balance sheet shows no debt, allowing them to still qualify for traditional bank loans if needed.

Behavioural Gradient FunctionP(compliance)

AoEAoE Section 3

The core equation of AoE: probability of compliance as a function of three weighted mechanisms—friction differential (F), identity coupling (I), and future-cycle access (C). When the sum exceeds threshold, compliance approaches certainty without enforcement.

Formula
P(compliance) = σ[αF + βI + γC] where σ is the sigmoid function
Example

A system with high F (preferred action is easy), moderate I (aligns with identity), and high C (valuable future access) achieves 95%+ compliance with zero enforcement budget.

Behavioural ScoreS_behav

R*R* Section 2.2

The composite score measuring actual institutional performance over time. Calculated from three behavioural dimensions: B_V (capability gradient), V_shock (volatility), and MCR (mission-cycle completion rate).

Formula
S_behav = (B_V + (1 - V_shock) + MCR) / 3
Example

An institution with B_V = 0.6, V_shock = 0.2, MCR = 0.85 has S_behav = 0.75, indicating strong operational performance.

Belief Protection Mechanism

ILA-ALRALR Section 3

Structural features that insulate institutional beliefs from contradictory evidence. These mechanisms are often invisible to participants, appearing as normal procedures rather than learning barriers.

Example

Requiring multiple approvals to change official positions, while allowing continuation of existing positions without review, is a belief protection mechanism—change faces barriers that persistence doesn't.

Bifurcated Market

Art MarketArt Market Section 4

A market structure where fundamentally different rules, norms, and price formation mechanisms operate in different segments, preventing coherent market-wide governance or value attribution. The segments may appear unified but operate as distinct economies.

Example

The primary art market (gallery sales) and secondary market (auction resales) follow entirely different logic—primary prices are set by galleries to build careers; secondary prices emerge from speculation and collector competition.

Binding (CEA Primitive)

CEACEA Section 2.1

The first CEA primitive: the commitment is formally connected to consequences. Not just stated but anchored to something that matters if violated. Weak binding relies on reputation; strong binding creates automatic structural consequences.

Example

Weak binding: 'We commit to renewable energy.' Strong binding: 'Failure to reach 50% renewable by 2030 triggers automatic 10% reduction in executive bonuses and mandatory shareholder disclosure.'

Binding Primitives

CEA-LTELTE Section 7

The basic structural elements that make commitments enforceable: legal obligations, financial stakes, verification mechanisms, and enforcement authority. Complex commitment architectures are built from these primitives.

Example

A contract combines binding primitives: legal obligation (court enforcement), financial stake (escrow deposit), verification (audit), and enforcement authority (arbitration). Each primitive contributes binding strength.

Black-Box Impact

SFSF Section 1.3

The structural outcome where capital enters with stated intent and exits with contested or unverifiable outcomes. Stakeholders must trust processes rather than inspect meaning. This opacity persists even under good faith—it follows from the absence of a semantic layer capable of carrying intent across capital flows.

Example

A $100M impact fund reports 'climate-positive' outcomes, but stakeholders cannot trace whether the original conservation intent survived through refinancing, portfolio rebalancing, and management changes. Impact is inferred, not verified.

Blended Finance

AcademicSee: UACC, Catalytic Capital

Using catalytic capital from public or philanthropic sources to mobilise private investment in development. IRSA's Unified Architecture for Catalytic Capital (UACC) goes beyond blending to show how different capital types can be architecturally unified to create regenerative effects—not just mixing capital but structuring it for compounding system value.

Example

A development bank provides first-loss capital to attract private investors. UACC shows how to structure this so the catalytic effect compounds over cycles rather than requiring repeated subsidy.

Blended Finance Optimization

UACCUACC Section 8

The process of designing capital structures that maximize catalytic leverage (L_cat), temporal smoothing (τ_smooth), and replicability (R_eff) simultaneously. UACC provides the analytical framework for this multi-objective optimization across the five functional layers.

Example

Optimization of a health facility: Increase L_cat by adding guarantee layer (L3), improve τ_smooth by extending loan tenors to match equipment lifecycles (L2), enhance R_eff by standardizing documentation for regional replication.

Boundary Failure

IOASection 4.4: Escalation Boundaries

Breakdown in escalation architecture where normal institutional boundaries cannot contain issues or route them appropriately. Boundary failure is often the proximate cause of institutional crisis—not the underlying issue but the inability to handle it through normal channels. IOA identifies and repairs boundary failures before they cascade.

Example

A quality issue at one factory becomes a company-wide scandal not because of the issue's severity but because escalation boundaries failed: local management couldn't contain it, regional management wasn't alerted, corporate was blindsided. The boundary failure, not the quality issue, caused the crisis.

Bounded Disagreement

IOASection 4.1: Participation and Procedural Legitimacy

Institutional capacity to contain disagreement within productive channels without either suppressing it (which loses information) or letting it fragment the institution (which loses coherence). Bounded disagreement requires architecture: forums for objection, escalation pathways, and clear boundaries between legitimate dissent and institutional sabotage.

Example

A research institute can disagree about methodology within seminars, about priorities within strategic reviews, and about ethics within designated committees. Each disagreement is bounded to appropriate forums. When disagreement spills across all boundaries simultaneously, the institute fragments.

Budgetary Gatekeeping

PEPolitics Section 3.1

The power held by funders, governments, or institutions to control access to capital through discretionary allocation decisions. PSC weakens budgetary gatekeeping by making capital flows dependent on system performance rather than funder approval.

Example

A hospital dependent on annual government grants must lobby each budget cycle. With PSC, the hospital's capital regenerates based on patient outcomes, reducing dependence on political gatekeepers.

Budgetary Smoothing

PPPPPP Section 7

The primary (often unstated) function PPPs serve: allowing governments to deliver visible infrastructure while deferring immediate fiscal consequences. PPPs operate as instruments of political timing rather than long-horizon capital solutions.

Example

A government announces a major PPP infrastructure program before an election—the spending is off-balance-sheet, debt metrics aren't affected, and fiscal consequences are pushed to future administrations.

Cadence Rule

GERCGERC Section 2.2

The temporal component of regenerative equilibrium specifying when allocations occur relative to mission cycles. The cadence rule synchronizes resource flows with the natural rhythm of regenerative activity, ensuring capital arrives when it can be productively absorbed.

Example

A cadence rule for education might specify quarterly disbursements aligned with academic semesters, while infrastructure might use 5-year cycles aligned with construction phases.

Canonical Failure Cascade

ILAILA-LLR Section 2

The universal sequence through which institutional failure propagates when learning is suppressed: learning suppression → model drift → regenerative misfire → alignment breakdown → legitimacy brittleness → crisis release. Each stage produces the conditions for the next.

Example

A central bank suppresses dissent about housing bubbles (learning suppression), develops models that ignore systemic risk (model drift), responds to stress with procyclical policy (regenerative misfire), loses alignment with mandate (alignment breakdown), faces declining public trust (legitimacy brittleness), collapses into crisis-mode governance (crisis release).

Capability FunctionV: X → ℝ≥0

FRSFRS Section 2.2

A function mapping system states to a scalar measure of institutional capability. V(x) may represent productive capacity, resilience, scientific throughput, health-service capability, or civic continuity. Regeneration is fundamentally about the evolution of V(xₜ) along system trajectories.

Formula
V: X → ℝ≥0
Example

For a climate adaptation agency, V might measure effective resilience capacity—pumping volume, fire-response capability, or levee integrity—providing a single scalar that tracks whether the system is regenerating or decaying.

Capability GradientB_V

R*R* Section 4.1

Measures whether institutional capability is increasing, stable, or declining over time. Positive B_V indicates growing competence and capacity; negative B_V indicates deteriorating capabilities (brain drain, skill loss).

Formula
B_V = dCapability/dt (normalized to [-1, 1])
Example

An institution with consistent talent retention and knowledge accumulation has B_V ≈ 0.6. One experiencing brain drain has B_V ≈ −0.4.

Capability GradientΔ_T V

FRSFRS Section 8.1.1

The change in capability across a mission cycle: Δ_T V = V(x_{t+T}) - V(xₜ). This is the most direct measure of whether a system is regenerating (Δ_T V > 0), sustaining (Δ_T V = 0), or extracting (Δ_T V < 0).

Formula
Δ_T V = V(x_{t+T}) - V(xₜ)
Example

A scientific laboratory's capability gradient measures whether research throughput at the end of each equipment cycle exceeds, equals, or falls below throughput at the start. Positive gradient means strong regeneration.

Capability Return (REA)γ (gamma)

REAREA Section 3.2

The value generated per dollar deployed beyond the capital itself. γ > 1.0 means each deployment creates additional value; γ = 1.0 means break-even; γ < 1.0 means value destruction.

Formula
γ = Total Value Generated / Capital Deployed
Example

Education funding with γ = 1.7 generates $170K of economic value (higher earnings, productivity) from a $100K scholarship. This capability return compounds with recycling.

Capability StockK

GERCGERC Section 2.1

The accumulated productive capacity of a regenerative system—including physical capital, human capital, institutional knowledge, and relational assets. Capability stock evolves according to capability dynamics, growing through investment and regeneration, depleting through use and decay.

Formula
K̇ = I(K,q) - δK (investment minus depreciation)
Example

A university's capability stock includes buildings, faculty expertise, curriculum, alumni networks, and institutional reputation—all of which must be maintained and renewed for continued mission output.

Capital as Event

PPPLHC Section 3.3

The grant framing where capital is represented as one-time transfer with defined termination. Grant instruments encode temporal constraints through project periods that rarely align with mission cycles. Event representation prevents capital from persisting across grant boundaries.

Example

Research grants terminate after 3-5 years despite scientific programs requiring 15-25 year horizons. Each grant is treated as discrete event rather than phase in continuous trajectory.

Capital as Flow

PPPLHC Section 3.1

The budgetary framing where capital is represented as annual appropriation requiring periodic renewal. Budgets assume capital is consumed in the fiscal year; multi-year continuity requires repeated political authorization. Flow representation makes long-horizon capital structurally impossible within fiscal frameworks.

Example

Infrastructure maintenance is budgeted as annual expense despite requiring 30-year planning horizons. The flow representation forces 50-year asset management into 1-year budget cycles.

Capital as Liability

PPPLHC Section 3.2

The debt framing where capital is represented as obligation requiring repayment. Debt instruments encode temporal constraints through repayment schedules that may misalign with mission timelines. Liability representation subordinates capital deployment to creditworthiness and debt service capacity.

Example

A hospital funded through bonds must service debt regardless of health outcomes. The liability representation privileges creditor claims over mission requirements when cash flows are stressed.

Capital as Transaction

PPPLHC Section 3.4

The contractual framing where capital is represented as exchange for specified deliverables. Contract instruments encode temporal constraints through performance periods and milestone payments. Transaction representation prevents capital from adapting to emergent conditions over long horizons.

Example

Infrastructure PPPs contract for 30-year operations but cannot adapt to technological change, demographic shifts, or climate impacts that emerge within the contract period.

Capital Cycle

RCSRCS Section 2.1

The recurring temporal process governing deployment and renewal of resources. Every capital form encodes a cycle: debt specifies repayment schedules, grants define termination points, equity embeds extraction requirements, philanthropy follows donor attention.

Example

A 5-year grant has a capital cycle of 5 years. At cycle end, capital terminates regardless of mission completion. This cycle mismatch with 30-year infrastructure missions causes chronic underinvestment.

Capital Decay

PSCPSC Section 3.4

The gradual reduction in available capital over cycles when R < 1.0. Even with 90% recycling, each cycle loses 10% of capital.

Formula
Capital after N cycles = C₀ × Rᴺ
Example

With R=0.9, after 10 cycles: $100K × 0.9¹⁰ = $34,867 remaining.

Capital DecouplingδK/δFᵢ = 0

RCSRCS Section 4

The architectural operation that removes capital's dependence on external fragility cycles. Capital is decoupled when changes in financial volatility, political turnover, or civic attention no longer affect its timing, availability, or obligations.

Formula
δK(t)/δFᵢ(t) = 0 for all i
Example

Eliminating liabilities breaks financial coupling. Eliminating discretionary renewal breaks political coupling. Eliminating donor-dependent funding breaks civic coupling.

Capital Evolution (RC-WD)Cₙ

RC-WDRC-WD Section 4

The mathematical progression of regenerative capital through cycles. Capital at cycle n equals initial capital times recycling rate to the power (n-1). With high recycling rates, capital persists across multiple government transitions.

Formula
Cₙ = C₀ × Rⁿ⁻¹
Example

$100M initial capital with R=90%: after cycle 1 = $90M, after cycle 2 = $81M, after 10 cycles = $34M still operational. The fund survives multiple political transitions.

Capital Fragility (Learning)

ILAILA-Core Section 6

One of four dominant learning fragility cycles: learning threatens funding streams, budgets, or sunk investments. When admitting evidence would require writing off prior investments or redirecting funding, institutions suppress learning to protect capital allocations.

Example

Healthcare systems exhibit capital fragility—learning threatens funding flows and sunk infrastructure investments. Symptoms include persistent cost overruns, defensive protocols, and underreported failure.

Capital Misalignment

PPPPPP Section 4

The structural incompatibility between capital cycles (governed by financial returns, refinancing, exit horizons) and mission cycles (governed by asset lifetimes, capability renewal, intergenerational service). PPPs fail because their capital architecture cannot align with public-good temporalities.

Example

A 30-year hospital PPP embeds 7-10 year refinancing windows, creating structural pressure points where financial optimization overrides service continuity.

Capital Phase Space

REAREA Section 5

A two-dimensional mapping of capital types by extraction rate (how much value is extracted from beneficiaries) and time horizon (how long capital persists). The four quadrants define debt, equity, grants, and regenerative capital.

Example

Debt sits at high extraction/short horizon. Grants sit at low extraction/short horizon (depletes). Regenerative capital occupies the optimal quadrant: low extraction/long horizon.

Capital Productivity (λ)λ (lambda)

RCTRCT Section 4.2

The value generated per dollar deployed in a single cycle. In extractive models, λ must exceed 1 + interest rate for the system to survive. In regenerative models, even λ slightly above 1 can compound to massive system value over time.

Formula
λ = Value Generated / Capital Deployed (per cycle)
Example

A workforce training program with λ = 1.5 generates $150K of economic value from a $100K deployment. Over multiple PSC cycles, this compounds dramatically.

Capital Semantic Agency

SFSF Section 5.1

The property where capital maintains continuity of intent across transfers, recombinations, and cycles without relying on continuous human interpretation. Capital becomes structurally constrained to act in alignment with purpose—not autonomous, but governed by semantic binding to mission objects.

Example

When an endowment's capital moves from one investment manager to another, it continues referencing the same education mission object. The new manager cannot reinterpret the mission—they can only act within its defined constraints.

Capital Stack TensorC_ijt

UACCUACC Section 3

A three-dimensional mathematical representation mapping capital across type (i), instrument (j), and time (t). The tensor allows precise characterization of blended finance structures and enables optimization of capital allocation across the five functional layers.

Formula
C_ijt where i ∈ {grant, concessional, commercial}, j ∈ {equity, debt, guarantee}, t ∈ [0, T]
Example

A climate facility's tensor might show: C_grant,equity,0 = $10M (initial grant capital as equity), C_concessional,debt,5 = $30M (concessional loans at year 5), C_commercial,debt,10 = $60M (commercial debt at year 10).

Capital-Cycle FunctionK : 𝕋 → ℝⁿ

OAIAOAIA Section 2.1

A function encoding how capital behaves over time in terms of period (recurrence interval), phase (timing within cycle), and amplitude (quantum of capital). Raw capital-cycle functions contain both mission-compatible and fragility-driven spectral components.

Formula
K(t) = Σₖ cₖ e^(iωₖt)
Example

A climate agency's capital-cycle function might show strong 1-year components (budget cycles) and weak 10-year components (pump replacement cycles)—the spectral signature reveals misalignment with physical infrastructure needs.

Captured Grievance Cycles

LGITLGIT-MFC Section 4.4

Moral fragility pattern where grievance authority becomes structurally aligned with interests of specific actors, roles, or organisational units. Capture emerges through career incentives, role specialisation, or reputational asymmetry—not necessarily bad faith.

Example

A dedicated equity function resists sunset provisions because revision threatens role legitimacy—feedback suppression intensifies as challenges threaten not just moral framing but institutional power distribution.

Catalytic LeverageL_cat

UACCUACC Section 5.1

The ratio of total capital mobilized to catalytic capital deployed. Measures the multiplier effect of concessional capital in attracting additional investment. Higher L_cat indicates more efficient use of scarce catalytic resources.

Formula
L_cat = (C_catalytic + C_crowded_in) / C_catalytic
Example

A facility deploys $25M in concessional capital and attracts $75M in commercial co-investment. L_cat = ($25M + $75M) / $25M = 4.0×. Each dollar of catalytic capital mobilized $4 total.

Category of Institutional SystemsI

FRSFRS Section 4.1

The mathematical category where objects are institutional systems (triples S = (X, F, θ) of state space, transition function, and architecture) and morphisms are structure-preserving transformations between systems. This categorical structure enables regeneration to be expressed as a functorial transformation.

Example

A hospital, a climate agency, and a scientific laboratory are all objects in I. A policy reform that restructures a hospital's capital architecture is a morphism in I—it transforms one institutional system into another.

Ceremonial Adoption

CEA-PGPG Section 6

Implementing practices, policies, or structures because they are expected by stakeholders or required by norms, without intending them to function as designed. The adoption is ceremonial—for show, not use.

Example

A whistleblower hotline is established because auditors expect it. The line is never publicised to staff, reports go to the implicated parties, and nothing changes. It's a ceremony.

Challenge Space

ILAILA Section 4.3

A protected forum where current direction can be questioned without career or political consequences. Challenge Spaces treat dissent as valuable signal rather than threat. Psychological safety is structurally guaranteed through governance, not just culturally encouraged.

Example

A Challenge Space might be a quarterly session where any employee can question strategic direction with guaranteed anonymity and explicit protection from retaliation—backed by governance, not just policy.

Change Fatigue

IOASection 5: Five Failure Modes

Institutional exhaustion from continuous reorganisation without operating condition improvement. Change fatigue occurs when institutions respond to IOA problems with structural changes that don't address the underlying operating condition failures. Each reorganisation depletes institutional energy without solving the problem, eventually exhausting capacity for any change.

Example

A government agency has been restructured four times in eight years, each time to solve persistent problems. Staff are exhausted, institutional memory is destroyed, and the problems persist because they were IOA failures (learning, escalation) not structural failures. Further restructuring only deepens fatigue.

Climate Discount Rate

ClimateClimate Section 2.4

The rate at which future climate benefits are discounted to present value. Traditional finance uses 5-10% (making 50-year benefits nearly worthless). PSC-G uses near-zero rates, properly valuing long-term adaptation.

Formula
PV = FV / (1 + r)^n — at r=7%, $1M in 50 years = $33K today; at r=1%, = $608K
Example

A $100M seawall preventing $2B damage in 2075 is 'worth' only $66M at 7% discount but $1.2B at 1% discount. PSC-G uses low rates aligned with actual intergenerational value.

Closed Legitimacy Loop

LGITLGIT-LD Section 4.1

Self-reinforcing authority structure where the institution defines the criteria for its own legitimacy evaluation. Challenge becomes proof of bad faith, questioning becomes evidence of the problem the institution addresses, and decay mechanisms are structurally absent.

Example

An equity body where criticism is interpreted as demonstrating the persistence of inequity, making the institution unfalsifiable—any evidence against it becomes evidence for its necessity.

COA Fitness Assessment

COASection 6: Failure Modes (Practical Indicators)

A diagnostic framework for evaluating whether an institution possesses adequate Cognitive Operating Architecture. Examines four capabilities: documented delegation boundaries, defined authority thresholds, trust recalibration mechanisms, and accountability maps that survive system changes.

Example

A COA Fitness Assessment might reveal: delegation boundaries exist but aren't enforced, authority thresholds are undefined, trust recalibration happens only after failures, and accountability maps don't survive vendor transitions. Each gap indicates architectural deficiency.

Cognitive Dependence

COASection 6.5: Irreversible Delegation

Institutional reliance on AI systems that exceeds the institution's ability to function without them. Cognitive dependence differs from tool dependence—it involves not just efficiency loss but capability loss, where humans have lost the ability to perform functions they once possessed.

Example

The firm could operate without their spreadsheet software, just less efficiently. They cannot operate without their AI system—the staff who could do the analysis manually have left, the processes assume AI involvement, and no one remembers how it was done before.

Cognitive Operating ArchitectureCOA

COASection 4: Definition and Scope

The missing institutional layer that governs how cognition is delegated to machine systems, how authority emerges from that delegation, and how accountability is preserved across time, system change, and organisational turnover. COA does not regulate what AI systems think; it regulates the conditions under which institutional reliance on machine cognition is permitted to form, persist, and evolve.

Example

A financial institution deploys an ML model as advisory support. Over time, reliance compounds, authority migrates, and delegation becomes irreversible—not through governance failure, but through architectural absence. COA would have specified delegation boundaries, authority thresholds, and accountability continuity requirements.

Cognitive Substrate

COASection 2: Delegated Cognition as a New Institutional Condition

The role AI systems increasingly play as foundational layers that shape how problems are framed, rather than as instruments that execute predetermined tasks. Unlike traditional tools (which can be put away), cognitive substrates are embedded in institutional workflows and shape decision conditions continuously.

Example

A calculator is an instrument—you use it and put it away. An AI system that preprocesses all customer inquiries before humans see them is a cognitive substrate—it shapes what the institution perceives and considers before any deliberation begins.

Collaborative Design

RATRAT Section 4

The practice of including diverse stakeholders—especially beneficiaries—in the design of regenerative systems. Recognises that lived experience provides essential knowledge about cycle timing and alignment needs.

Example

A scholarship redesign process includes recent graduates, current students, and employers to understand actual transition timelines rather than assumed ones, resulting in better-aligned pay-forward expectations.

Collective Action Problem

AcademicSee: Pre-Governing, Architectures of Ease

Situations where individually rational behaviour leads to collectively suboptimal outcomes—the foundation of many social dilemmas. IRSA's Pre-Governing framework addresses this by designing institutions before they're needed, when alignment is easier to achieve. Rather than solving collective action problems after they emerge, pre-governing prevents the problematic structure from forming.

Example

Climate action fails because each country benefits from others' sacrifices. Traditional approach: negotiate agreements. Pre-governing approach: design institutions that make contribution the rational individual choice from the start.

Collector Networks

Art MarketArt Market Section 3.2

Informal communities of buyers whose shared interests, information exchange, and coordinated behaviour substitute for absent market infrastructure. These networks provide price discovery, verification, and trust—but only for insiders.

Example

Collectors in a particular segment share information about fakes, warn each other about problematic dealers, and collectively establish price expectations—but this knowledge is not publicly available or systematically recorded.

Collector-Artist Misalignment

NFTsNFTs Section 9

The structural conflict between artist interests (ongoing relationship, royalties, artistic control) and collector interests (profit maximisation, resale freedom, speculation). Without institutional mediation, these interests cannot be balanced.

Example

Artists want royalties and some control over how their work is used. Collectors want maximum freedom to resell without fees. No mechanism exists to negotiate or enforce a middle ground.

Commitment & Enforcement Architecture (CEA)

CEACEA Section 1

A framework for designing institutional commitments that actually bind. CEA identifies five primitives (binding, persistence, verification, enforcement, non-bypassability) necessary for commitments to constrain behaviour structurally rather than depending on willpower.

Example

Climate net-zero pledges fail because they lack CEA primitives: no binding to consequences, no persistence across leadership, no independent verification, no enforcement trigger, easily bypassed by exceptions.

Commitment Architecture

PPP-LHCLHC Section 4

The structural mechanisms that enable long-horizon commitments to survive short-horizon pressures. Commitment architecture makes breaking commitments costly even when those who made them are gone.

Example

Constitutional protections, trust structures, and penalty clauses are commitment architecture. They create costs for commitment violation that persist across authority changes.

Commitment Credibility

CEA-PledgesPledges Section 4

The degree to which a pledge is believable given the pledger's incentives, the enforcement mechanisms, and the costs of non-compliance. Low credibility pledges convey little information about future behaviour.

Example

A pledge with no monitoring, no consequences for failure, and clear benefits to the pledger from making it has near-zero credibility—it reveals nothing about what will actually happen.

Commitment Durability

IOASection 4.3: Commitment Durability

The third domain of IOA: how institutions maintain commitments across time, leadership changes, and shifting circumstances. Commitment durability architecture distinguishes between commitments that must hold absolutely, commitments that can be revised through legitimate process, and commitments that should be abandoned when circumstances change.

Example

A foundation commits to a 20-year educational initiative. Commitment durability architecture specifies: which elements are inviolable (the mission), which can be revised (implementation methods), and what constitutes legitimate revision versus betrayal (board supermajority, stakeholder consultation).

Commitment Horizon

PPP-LHCLHC Section 2

The maximum timeframe over which an institution can credibly commit. Commitment horizons are constrained by authority cycles, funding certainty, and institutional stability.

Example

A government's commitment horizon extends only to its term. A 30-year PPP commitment exceeds this horizon—the commitment is made by one government but must be honoured by many.

Commitment Revision

IOASection 4.3: Commitment Durability

Legitimate modification of institutional commitments through proper process, distinguished from commitment betrayal (abandonment without legitimacy) and commitment overbinding (inability to adapt). IOA specifies how commitments can be revised, by whom, under what conditions, ensuring flexibility without opportunism.

Example

A development agency committed to a specific intervention finds evidence it doesn't work. Commitment revision allows pivoting to effective alternatives through transparent process. Without revision architecture, the agency either continues ineffective work (overbinding) or abandons commitments arbitrarily (betrayal).

Commitment-Execution Decoupling

CEACEA-LTE Section 4.2

A partial architecture where institutions promise but do not deliver. Commitments exist without enforceable binding. Produces ambitious targets with no penalties for non-compliance, reform pledges deferred to future administrations, and symbolic compliance through reporting rather than action. The structural core of performative governance.

Example

Corporate diversity pledges that appear in annual reports but don't influence hiring decisions—the commitment performs without executing. Because commitments impose no cost, they proliferate.

Commitment-Execution Gap

CEACEA Section 1.2

The systematic failure of institutions to execute on stated commitments. CEA shows this gap is structural, not behavioural—commitments fail because their architecture permits failure, not because of poor implementation or bad intentions.

Example

Strategic plans routinely fail not because staff don't try, but because the plan itself lacks enforcement architecture—there's no consequence for non-execution, no verification mechanism, no persistence across leadership change.

Commutator-Minimising Capital[A_PSC, Aᵢ] ≈ 0

OAIAOAIA Section 6.5

PSC's deepest theoretical property: it produces alignment operators that approximately commute with other domain operators. PSC capital reduces cross-domain interference, enabling coherent multi-sector governance.

Example

PSC capital satisfies [A_PSC, A_health] ≈ 0 and [A_PSC, A_climate] ≈ 0. Unlike budget capital, PSC doesn't interfere with mission cycles—it's the first architecture that achieves cross-domain coherence.

Compensatory Architecture

InternetInternet Section 2

Design patterns that emerge to work around foundational absences rather than building upon foundational presence. Compensatory architectures are necessarily less efficient than native architectures because they simulate what should be built in.

Example

The entire ad-tech ecosystem is compensatory architecture—it exists because the internet lacks a native payment layer. Every cookie, tracker, and targeting system is a workaround for the inability to charge directly for value.

Complexity Creep

Family OfficesFamily Offices Section 14

The gradual accumulation of investment structures, legal entities, and operational processes that eventually exceeds the family's ability to understand or govern effectively. Each addition seems reasonable; the aggregate becomes unmanageable.

Example

Over 30 years, a family office acquires 47 different investment vehicles, 12 trust structures, and relationships with 23 advisors. No family member can comprehend the whole system.

Concession Horizon Effect

PPPPPP Section 5.2

The systematic pattern where private operators optimize within contract boundaries, creating perverse incentives that intensify as concession end approaches. Asset sweating, deferred maintenance, and short-term metric gaming are rational responses to bounded capital participation.

Example

Five years before a rail PPP concession ends, maintenance spending drops 40% because the operator won't benefit from capital improvements they fund but won't recoup.

Condition Drift

LGITLGIT-LD Section 3.1

The empirical phenomenon where the conditions that originally justified corrective authority evolve substantially over time—through policy success, demographic change, or other factors—while the institutional mandate remains anchored to historical framings.

Example

Educational disparities that justified intervention in 1980 may have different causes, magnitudes, and distributions in 2020—but policy remains calibrated to the original diagnosis.

Condition Governance

IOASection 2: The Governance-Risk Gap

The distinctive function of IOA: governing the conditions under which institutions operate, as distinct from governing decisions (governance) or governing responses to events (risk management). Condition governance is continuous, architectural, and concerned with how rather than what—how disagreement is channelled, how learning occurs, how commitments persist, how issues escalate.

Example

Governance decides to expand into new markets. Risk management prepares for potential failures. Condition governance ensures: staff can voice concerns about the expansion, lessons from previous expansions are accessible, commitment to existing operations is maintained during transition, and problems escalate to appropriate levels.

Consequence Displacement

AMIAMI Section 4

The transfer of decision consequences from decision-makers to others—typically future authorities or affected populations. AMI systematically creates consequence displacement because authority holders rotate before consequences manifest.

Example

A minister approves infrastructure cost-cutting. The consequences (maintenance crises) appear 15 years later under different ministers. The deciding minister bears no consequences; their successors do.

Constitutional Precondition

PPP-MECMEC Section 2

Requirements that must be satisfied before a market can function as intended. Preconditions include property rights, contract enforcement, information symmetry, and aligned time horizons.

Example

A market for long-term infrastructure requires time horizons exceeding 30 years. If capital markets operate on 5-year horizons, the constitutional precondition isn't met—the market cannot function regeneratively.

Constitutional Repair

PPP-MECMEC Section 4

Interventions that address missing or broken market preconditions. Rather than regulating market outcomes, constitutional repair fixes the conditions under which markets operate.

Example

Instead of price controls on PPP services, constitutional repair would address information asymmetry, time horizon mismatch, and enforcement gaps—fixing the market's constitution, not its outputs.

Constitutional Vacuum (Markets)

PPPMEC Section 4

The absence of a semantic and institutional layer that constrains market optimisation to value-regenerating boundaries. Markets exist pre-constitutionally—there is no binding specification of what exchange must not optimise away. This absence is not a policy failure but an architectural gap.

Example

Financial markets operate under trading rules but lack constitutional constraints on systemic risk accumulation. The 2008 crisis emerged from optimisation that was rational within existing architecture but destructive of the system's own stability.

Container-Centric Assumption

SGAISGAI Section 2

The largely unexamined assumption that goals, intentions, and constraints can be safely embedded within the same containers used for execution and optimisation—prompts, datasets, reward functions, and policies. This assumption breaks down as AI systems scale and delegate.

Example

Prompt engineering embeds 'be helpful and harmless' in text, assuming the model will preserve this across all contexts. But prompts are containers designed for execution, not meaning preservation—when chained or abstracted, the intent degrades.

Container-Centric Discovery

INDSection 2: The Container Problem

The traditional discovery paradigm where documents (books, articles, records) are the primary navigational objects. Users search for and navigate between containers, accessing ideas only by opening the containers that hold them. Discovery = finding the right container.

Example

A library catalogue search returns 847 results for 'sublime romanticism'. The user must open each container to see if it contains the ideas they want. The catalogue organises containers; ideas are trapped inside.

Container-Centric Governance

INAINA Section 2

Governance systems organised around containers—documents, contracts, funds, mandates, policies, records, and legal entities—as the primary units through which authority is exercised and accountability assessed. Container-centric governance embeds meaning inside artifacts optimised for storage and transfer rather than semantic continuity.

Example

A compliance audit that checks whether fund disbursements match contract terms, without questioning whether those terms still reflect the fund's original purpose—the container is valid but meaning may have drifted.

Container-Object Separation

INAINA Section 2.1

The core principle of INA: distinguishing between the vessel that holds meaning (document, policy, model weights) and the meaning itself. Separation enables the object to persist and be governed even as containers change.

Example

A foundation's mission can persist across multiple governance documents, strategic plans, and leadership transitions when treated as a governed object rather than text in a PDF.

Containment Cycle

ILAILA Section 3.2

The second Learning Fragility Cycle: learning stays local. Insights from one part of the organisation don't propagate to others. Departments solve the same problems independently, repeatedly. Knowledge is contained rather than shared.

Example

Three regional offices each develop solutions to the same customer complaint. Each solution works locally but none spreads. When a fourth office faces the same issue, they start from scratch.

Contract Completeness Problem

NFTsNFTs Section 15

The impossibility of specifying all contingencies in a smart contract, combined with the inability to adapt contracts to unforeseen circumstances. Unlike legal contracts interpreted by courts, smart contracts execute exactly as written.

Example

An NFT contract cannot anticipate marketplace behaviour changes, protocol upgrades, or market structure evolution. When these occur, the contract cannot adapt—it either breaks or becomes irrelevant.

Contract Failure Mode

PPP-WCFWCF Section 6

The characteristic ways contracts fail to achieve their purposes—typically through incompleteness, rigidity, information asymmetry, and enforcement failure. Understanding failure modes enables architectural mitigation.

Example

PPP contracts predictably fail through renegotiation capture, end-of-contract degradation, and rigid technology lock-in. These failure modes are structural—they recur because they're built into contract architecture.

Contractual Completeness Error

PPPPPP Section 3

The category error of attempting to govern intergenerational public obligations through finite, incomplete contracts. Contracts coordinate exchanges within bounded transactions; they cannot constrain what may be renegotiated across political, financial, and generational cycles.

Example

Even a perfectly specified PPP contract cannot anticipate technological change, demographic shifts, or political realignment over 30 years—making renegotiation structurally inevitable.

Contractual Rigidity

PPP-WCFWCF Section 2

The resistance of contracts to adaptation when circumstances change. Rigidity is often a design feature (protecting commitment) but becomes a failure when it prevents necessary adjustment.

Example

A PPP specifies technology from 2005. By 2020, superior technology exists, but the contract requires the obsolete approach. Rigidity that protected commitment now prevents improvement.

Control as Behaviour-Shaping

Pre-GovPre-Gov Section 2.2

The function of shaping behaviour within an already-defined action space through procedures, protocols, approvals, metrics, and monitoring. Control assumes that underlying purpose is known and stable; it ensures behaviour conforms to expected patterns but does not define legitimacy.

Example

Requiring manager approval for expenditures over $10,000 is control—it shapes behaviour within a defined space but doesn't clarify what the expenditures should ultimately achieve.

Corrective Institution Paradox

LGITLGIT-LD Section 2

The recurring trajectory where institutions established to remedy historical injustice—which initially possess strong moral authority—become sources of institutional rigidity, polarisation, and declining trust over time. The same mechanisms that established legitimacy become barriers to adaptation.

Example

A civil rights organisation with unquestionable moral founding becomes institutionally defensive when conditions change, treating any suggestion of mandate revision as an attack on the underlying grievance.

Cost Displacement

PPP-TATA Section 3

Shifting costs from one time period to another—typically from present to future. Temporal asymmetry enables cost displacement because those displacing costs don't bear the displaced costs.

Example

A PPP operator defers maintenance, reducing current costs and increasing future costs. When the contract ends, the displaced costs become the public's problem.

Creative Capture

InternetInternet Section 6.2

The process by which creative work becomes trapped within platform ecosystems, unable to transfer its audience, reputation, or revenue potential to other contexts. The creator's value is held hostage to the platform's terms.

Example

A creator with millions of followers on one platform starts from zero on another. Their audience, reputation, and content history are platform property, not portable creator assets.

Creative Value Capture (NFT)

NFTsNFTs Section 12

The mechanisms by which artists can or cannot capture the value their work generates. NFT royalty promises were meant to improve capture; their failure returns the market to traditional structures where artists lose value on secondary sales.

Example

NFTs promised artists ongoing value capture through royalties. The collapse of royalty enforcement means artists now capture less value than in traditional gallery relationships with contractual resale rights.

Crisis Memory

Inst-ForgetIF Section 6

Organisational knowledge of past failures and the measures implemented to prevent recurrence. Crisis memory is particularly vulnerable to decay because it concerns events people prefer to forget.

Example

After a bridge collapse, new safety protocols are implemented. Thirty years later, no one remembers why those protocols exist. They're relaxed to save costs, recreating the original risk.

Cross-Domain Commutators[A₁, A₂] = A₁A₂ - A₂A₁

OAIAOAIA Section 6

The mathematical measure of interference between alignment operators from different domains. When commutators are non-zero, the order of applying alignment transformations matters—applying A_health then A_gov produces different outcomes than A_gov then A_health.

Formula
[Aᵢ, Aⱼ] ≠ 0 implies structural interference
Example

The health-government commutator [A_health, A_gov] ≠ 0 explains why hospitals fail: budget cycles (1-year) interfere with equipment cycles (5-7 years). The order of alignment matters, and budget typically dominates.

Cross-Subsidy Model

InternetInternet Section 4.2

A business structure where one activity (advertising) subsidises another (content) because direct payment for the subsidised activity is not viable. The subsidising activity's requirements inevitably shape the subsidised activity.

Example

Free email is subsidised by advertising, requiring user data collection. The subsidy model means users cannot have privacy because privacy would eliminate the subsidy mechanism.

Crowding Out

AoEAoE Section 4.3

The third hidden cost of enforcement: extrinsic motivators (monitoring, penalties) can destroy intrinsic motivation. Once people are paid or punished for behaviour, they stop doing it for its own sake. AoE preserves intrinsic motivation by never introducing extrinsic controls.

Example

Blood donation rates dropped when countries introduced payment—paying 'crowded out' the intrinsic motivation to help. PSC pay-forward rates exceed loan repayment rates because contribution remains voluntary.

Cultural Memory Gap

Art MarketArt Market Section 7

The loss of knowledge about art, artists, and movements that results from inadequate documentation infrastructure. When verification depends on expert memory, death or retirement creates irrecoverable information loss.

Example

Knowledge about authentication details, provenance gaps, and attribution disputes often exists only in dealer memories—when these individuals leave the market, the knowledge disappears, making verification permanently impossible.

Cycle Constitution

RCARCA Section 5

A governance mechanism that protects temporal integrity across political and organisational turnover. Like a constitutional separation of powers but for time—preventing short-term cycles from capturing long-term capital.

Example

A cycle constitution might require supermajority approval to shorten fund horizons, multi-year deliberation for structural changes, and beneficiary consent for mission modifications.

Cycle Constitution

GERCGERC Section 2.3

The structural rule enforcing temporal feasibility in regenerative systems. A cycle constitution specifies which allocation-cadence pairs satisfy the timing constraints necessary for regeneration—it is the temporal analog to budget constraints in standard equilibrium theory.

Example

A housing PSC's cycle constitution requires that repayments from generation N complete before disbursements to generation N+1 begin—this temporal rule ensures the system never promises funds it cannot deliver.

Cycle Constitution (Ψ)Ψ (Psi)

RC-WDRC-WD Section 6

A governance mechanism that protects temporal architecture from short-term pressures. Like a national constitution protects rights from temporary majorities, a Cycle Constitution protects long-term capital from impulsive redirection.

Example

A Cycle Constitution might require supermajority approval to shorten fund horizons, multi-year deliberation periods for structural changes, beneficiary consent for mission modifications, and independent temporal guardians.

Cycle Coupling

RCSRCS Section 3.1

The structural mechanism by which capital inherits fragility. Capital is coupled when its availability, renewal, or obligations functionally depend on the state of an external fragility cycle. Under coupling, external fluctuations directly govern capital behaviour.

Formula
K(t) = Γ(Fᵢ(t))
Example

Grant funding coupled to political cycles: when governments change, capital disappears—even if the 50-year climate project is mid-execution. The capital obeys the political cycle, not the mission cycle.

Cycle Decomposition IdentityK = A(K) + E(K)

OAIAOAIA Section 3.3

The fundamental decomposition of institutional behaviour into aligned and misaligned components. This is the cycle analogue of orthogonal decomposition in functional analysis—every capital function splits into mission-aligned and fragility-driven parts.

Formula
𝒦 = 𝒜 ⊕ ℰ (direct sum decomposition)
Example

A hospital's capital behaviour decomposes into A(K) (equipment-cycle matched) and E(K) (budget-cycle driven). The decomposition reveals exactly how much behaviour serves mission versus fragility.

Cycle Durationτ (tau)

PSCPSC Section 3.2

The average time between capital deployment and beneficiary pay-forward. Varies by sector: education (4-7 years), healthcare (2-3 years), small business (1-3 years).

Example

Education scholarships have τ ≈ 5 years (graduation + job + financial stability + contribution).

Cycle Recognition

RATRAT Section 2.1

The cognitive skill of identifying temporal patterns in institutional systems—seeing where fragility cycles threaten missions and where alignment opportunities exist. The first step in regenerative design.

Example

A policy analyst recognises that a 10-year infrastructure project is governed by 2-year budget cycles, identifying a fragility source that can be addressed through structural redesign.

Cycle Resetting

CEACEA Section 4.4

The fourth CEA failure mode: each new leadership cycle treats previous commitments as suggestions, not constraints. Related to the persistence primitive failure—commitments don't survive authority transitions.

Example

Five-year strategic plans that get replaced every 3-4 years without accountability for the previous plan. New CEOs 'resetting' to their own vision regardless of predecessor commitments.

Cycle-Clearing

GERCGERC Section 2.3

The temporal analog to market-clearing in standard equilibrium. A system cycle-clears when all resource commitments made in one cycle are fulfilled before the next cycle begins—there is no temporal debt or unfunded future obligation accumulating.

Example

A PSC cycle-clears if every cohort's pay-it-forward obligations are satisfied within the designated repayment window, leaving no unfunded commitments for future cohorts to absorb.

Dangerous Evidence

ILA-EBDEBD Section 1

Information that threatens institutional equilibrium by contradicting official positions, undermining stakeholder relationships, or requiring costly changes. Evidence becomes dangerous when acting on it is more threatening than ignoring it.

Example

Evidence that a flagship program is harmful is dangerous—acknowledging it would require terminating the program, admitting past error, and facing donor and political backlash.

Dangerous Learning

ILAILA-EBD Section 2

Evidence or insight that, if integrated, would: (1) undermine the foundational narrative justifying the institution's existence, (2) invalidate prior decisions and their accumulated precedents, or (3) redistribute power away from current authority holders. Learning becomes 'dangerous' when its integration threatens legitimacy rather than enhancing it.

Example

For a medical institution, evidence that a long-standard treatment is harmful constitutes dangerous learning—it threatens past decisions, current authority, and the narrative of continuous improvement.

Decision Envelope

Pre-GovPre-Gov Section 4.2

A structured space within which actors can exercise judgment without continuous oversight. The decision envelope defines which kinds of decisions are admissible, which trade-offs are acceptable, and which actions are categorically excluded—transforming ambiguity from a source of risk into a condition for responsible judgment.

Example

A program officer's decision envelope might specify: grants up to $50K can be approved independently; grants supporting education are prioritised; grants to political organisations are excluded; all other cases require committee review.

Decision Fragility (Family Office)

Family OfficesFamily Offices Section 3

The vulnerability of long-term investment strategies to short-term pressures, emotional reactions, or individual preferences. Family offices face unique decision fragility because beneficiaries have personal relationships with decision-makers.

Example

A 30-year investment thesis is abandoned because one family member needs liquidity for a divorce. The personal relationship makes it difficult to enforce the strategy against individual needs.

Decision Surface

PPP-GDSGDS Section 1

The bounded space of choices that governance structures can address. Decision surfaces determine what questions can be asked, what options can be considered, and what outcomes can be achieved—regardless of decision-maker intent.

Example

A PPP contract defines a decision surface: parties can negotiate within specified parameters but cannot address questions outside the surface. Surface limits governance more than decision quality.

Decoupling (Governance)

CEA-PGPG Section 4

The separation of formal governance structures from actual organisational behaviour. Decoupled organisations maintain governance facades while operating differently in practice.

Example

The strategic plan describes collaborative decision-making; actual decisions are autocratic. The formal structure is decoupled from practice—different rules govern appearance and reality.

Decoupling OperatorΔ (Delta)

RCARCA Section 3.1

The operation that separates capital cycles from fragility cycles (political, financial, capability, civic). A system satisfies Δ when its capital flow is insulated from short-term external pressures.

Example

A PSC fund satisfies Δ because it doesn't require annual donor renewal, political approval, or depend on market conditions—it's decoupled from all four fragility cycles.

Decoupling OperatorΔ

GERCGERC Section 2.2

A structural operator that insulates capital flows from fragility cycles—short-term political, electoral, funding, or economic volatility. The Δ-operator ensures that regenerative capital operates on its own temporal logic rather than being disrupted by external cycle misalignment.

Formula
Δ(F, M) insulates M-cycle flows from F-cycle shocks
Example

A university endowment with strong Δ-properties maintains research funding through economic recessions because its structure decouples disbursements from market volatility cycles.

Decoupling OperatorΔ : 𝒦 → 𝒦*

OAIAOAIA Section 2.2

The operator that removes all dependence on fragility cycles from capital behaviour. Δ transforms raw capital into fragility-invariant capital by eliminating political, financial, capability, and civic volatility components.

Formula
∂Δ(K)/∂Fᵢ = 0 for all Fᵢ ∈ F
Example

Δ transforms grant-driven lab funding (12-month cycles) into continuity funding (5-year research cycles). The operator removes the high-frequency noise that causes mid-project disruption.

Decoupling Operator (Δ)Δ (Delta)

ACAA Section 2.3

Measures the temporal gap between when capital is needed and when repayment is demanded. High Δ indicates severe misalignment (need-repayment timing mismatch). Traditional debt has high Δ; PSC minimizes Δ by waiting for capacity.

Formula
Δ = |T_need - T_repayment| / T_lifecycle
Example

A mortgage demands payment immediately (month 1) when the buyer has minimal equity. Δ ≈ 0.9. PSC housing would wait until equity builds. Δ ≈ 0.2.

Decoupling Operator (Δ) - RC-WDΔ (Delta)

RC-WDRC-WD Section 3.1

The operation that insulates capital flow from fragility cycles. When δK/δF = 0, capital flow is independent of fragility cycle state. The capital keeps flowing regardless of political changes, recessions, staff turnover, or donor fatigue.

Formula
δK/δF = 0
Example

A PSC-based development fund satisfies Δ because it doesn't require annual parliamentary approval, isn't vulnerable to market conditions, and doesn't depend on any single staff member's continued employment.

Decoupling Precedes Alignment (Principle)

ILAILA-Core Proposition 4

The architectural principle that learning cannot be aligned to reality unless it is first decoupled from institutional fragility cycles. Attempts to improve evidence quality, transparency, or analytics without applying Δ^L will fail to induce adaptation. Institutions must first make updating safe before making it accurate.

Formula
Δ^L must precede Λ^L
Example

Reforms focused on 'better data' or 'stronger accountability' routinely fail because they attempt alignment without decoupling. The institution has better information but still cannot update because updating remains unsafe.

Decoupling ScoreS_Δ

R*R* Section 3.1

Measures how insulated an institution is from external fragility cycles (political, market, funding). High S_Δ indicates independence from short-term pressures; low S_Δ indicates vulnerability to electoral or budget cycles.

Formula
S_Δ ∈ [0, 1]
Example

The Dutch Water Boards have S_Δ ≈ 0.9 (highly independent from political cycles). A typical government department has S_Δ ≈ 0.3 (highly dependent on annual budget approval).

Defensive Impact Investing

SFSF Section 2

The dominant governance posture in impact finance where capital is constrained through exclusions, conditions, covenants, and reporting obligations designed to prevent misuse rather than enable purpose. The implicit logic is prohibitive: do not finance X, do not violate Y, demonstrate compliance with Z.

Example

A climate fund defines impact through sector exclusions (no fossil fuels), ESG thresholds (minimum score 7/10), and quarterly reporting—all focused on what capital cannot do rather than what purpose it actively carries.

Defensive Overreach

LGIT-MFCMFC Section 3

The process by which defenders of a moral position extend it beyond defensible bounds in response to perceived threats. Overreach creates vulnerabilities that critics exploit to undermine the entire position.

Example

To protect a core principle, advocates apply it to cases where it doesn't fit. Critics focus on the absurd applications, using them to discredit the reasonable core.

Deferred Fragility (Accounting)

PPPABS Section 5.3

Risks that accumulate through underinvestment, misaligned renewal timing, or loss of institutional memory that do not appear on financial statements until they manifest as failures or emergency expenditures. Systems that quietly degrade look fiscally healthy until failure, while systems investing continuously in renewal appear fiscally demanding. Accounting inverts the signal of prudence.

Example

Decades of deferred infrastructure maintenance appear as 'fiscal responsibility' in annual reports. When bridges fail or water systems collapse, accounting records a sudden shock rather than the long chain of deferrals that made the shock inevitable.

Delegated Burden Archetype

CEACEA-PG Section 4.3

Third performative governance archetype where commitments are made centrally but execution responsibility pushed downstream without matching authority or resources. Failure appears as operational underperformance, but the structural cause is authority asymmetry.

Example

Executive announces organisation-wide digital transformation; IT department bears accountability without budget authority or mandate over business units. Target missed; blame assigned to 'implementation failure.'

Delegated Cognition

COASection 2: Delegated Cognition as a New Institutional Condition

The institutional condition where an organisation systematically relies on an external system to perform functions previously internal to human judgment: classification, prioritisation, evaluation, recommendation, prediction, and synthesis. Unlike traditional automation, delegated cognition is persistent, embedded in workflows, and shapes how problems are framed before human deliberation occurs.

Example

A hiring system doesn't just screen resumes—it shapes which candidates are visible, which qualifications matter, and what 'qualified' means. The cognition isn't assisting human judgment; it's framing what humans judge. This is delegated cognition, not automation.

Delegation Boundaries

COASection 5.1: Delegation Boundaries

The first core function of COA: explicit specification of which classes of judgment may be delegated, under what conditions, for what duration, and under what circumstances delegation must expire, pause, or be re-authorised. Without delegation boundaries, systems continue to be used not because they remain appropriate, but because they are already embedded.

Example

A delegation boundary might specify: 'Credit scoring for loans under $50K may use automated recommendations for 24 months, after which revalidation is required. Loans involving unusual circumstances must always include human override review.'

Delegation Boundary

Pre-GovPre-Gov Section 5.4

The specification of where autonomy begins and ends—which decisions can be made locally, which require coordination, and which must be escalated. Pre-governing treats delegation as a design problem rather than organisational convenience, distributing authority only after semantic conditions that make it safe have been established.

Example

A delegation boundary might specify: 'individual clinicians can prescribe standard treatments; experimental protocols require ethics board review; any protocol affecting more than 100 patients requires institutional approval.'

Delegation by Default

COASection 5.1: Delegation Boundaries

The pattern where cognitive delegation occurs not through deliberate institutional decision but through passive acceptance of AI system involvement. Delegation by default is the opposite of governed delegation—it happens when COA is absent and no one owns the question of whether delegation should occur.

Example

No one decided to delegate customer triage to AI. The system was added to help with volume; staff started relying on its categories; new staff never learned to triage without it. Delegation occurred by default, not design.

Delegation Revalidation

COASection 5.1: Delegation Boundaries

The periodic review of whether cognitive delegation remains appropriate, specified as part of delegation boundaries. Revalidation examines whether original conditions still hold, whether scope has drifted, whether reliance has accumulated beyond thresholds, and whether authority relationships require adjustment.

Example

A system approved for fraud detection in 2020 is revalidated in 2023. The review finds: transaction patterns have changed, new fraud types have emerged, and the system is now used for regulatory compliance beyond its original scope. Revalidation triggers re-authorisation.

Delegation Safety Proposition

PPPGDS Section 4

If a decision surface is governed ex ante, selection within that surface may be delegated without loss of institutional legitimacy. The risk associated with delegation is a function of surface design, not chooser competence.

Example

Algorithmic trading systems can be safely deployed not by improving the algorithm's judgment, but by constraining the optimisation envelope to exclude options that would violate institutional intent.

Delegation Threshold

PPPGDS Section 8

The boundary where authority ends and choice begins. Once the decision surface is governed, selection within it can be delegated safely—to individuals, committees, markets, or machines—without loss of legitimacy.

Example

A chief investment officer has delegated authority to select among pre-approved asset classes but not to introduce new asset classes. The delegation threshold separates surface governance from selection discretion.

Dependency Ratio

PEPolitics Section 4.3

The proportion of an institution's operating capacity that depends on discretionary external funding. PSC reduces dependency ratio by converting discretionary grants into self-regenerating capital.

Formula
Dependency Ratio = Discretionary Funding / Total Operating Budget
Example

A clinic with 80% of its budget from annual grants has high dependency. Converting half to PSC drops dependency to 40%, giving the clinic more mission autonomy.

Deployment Efficiencyγ (gamma)

PSCPSC Section 3.3

The ratio of social value created per dollar deployed. Accounts for program overhead, targeting effectiveness, and impact multipliers.

Formula
γ = Social Value Generated / Capital Deployed
Example

A program with γ = 1.2 creates $1.20 of measurable social value per dollar deployed.

Design for Continuity

CEACEA-LTE Section 6.1

The architectural principle of designing institutions around continuity across moments (decisions, announcements, reviews, elections) rather than around moments themselves. Requires embedding learning protections that survive controversy, binding commitments beyond leaders, enforcing decisions symmetrically, and preserving intent as authority changes.

Example

Constitutional courts design for continuity: judicial tenure, precedent systems, and amendment procedures create structural continuity that survives political cycles and individual justices.

Diagnostic Tests (Grievance)

LGITLGIT-PEPG Section 5

Five tests to distinguish active injustice from extractive grievance: (1) Decay Test—would authority naturally decay if architecture permitted? (2) Revalidation Test—can grievance survive structured empirical review? (3) Symmetry Test—are evidentiary standards symmetric for expansion and contraction? (4) Exit Test—does addressing the grievance reduce the grievance industry? (5) Market Test—does success decrease or increase grievance capital value?

Example

A grievance regime fails the Exit Test if successfully reducing discrimination would threaten the organisations built to address it—incentives have inverted from correction to preservation.

Discovery Paradigm

INDSection 2: The Container Problem

The conceptual model underlying how users find and navigate information. Container-centric and idea-native are two paradigms—they answer different questions ('which book?' vs 'which idea?') and require different architectures.

Example

The discovery paradigm shapes what users can find. Container-centric: users find books that match queries. Idea-native: users find ideas that matter, then trace them to manifestations. Same collection, different discoverable landscape.

Discretion Collapse

Pre-GovPre-Gov Section 2.5

A symptom of post-hoc governance where ambiguity is treated as risk, causing actors to retreat from judgment toward procedural compliance. Decision quality degrades even as rule-following improves, because actors minimise exposure by deferring decisions upward and avoiding interpretation.

Example

Teachers stop adapting curriculum to student needs and 'teach to the test' because any deviation from standard procedure creates personal risk—discretion becomes liability.

Discretionary Override

CEACEA Section 4.2

The second CEA failure mode: leaders retain ability to suspend commitments when convenient, making them performative rather than binding. This mode dominates when non-bypassability primitive is absent.

Example

Environmental commitments 'paused' during economic downturns, diversity initiatives 'deprioritized' during layoffs—the commitment exists until it becomes inconvenient.

Dissent Suppression Cycle

ILAILA Section 3.5

The fifth Learning Fragility Cycle: voices that challenge current direction are marginalized, exit, or learn to stay silent. Only comfortable feedback reaches decision-makers. The institution loses its capacity to receive signals that would enable genuine update.

Example

Engineers who raised concerns about a product defect were labeled 'not team players' and eventually left. When the defect caused a recall, no internal voice remained to provide early warning.

Distance-to-Mission Metricd(K, M) = |E(K)|

OAIAOAIA Section 5.4

The formal distance between actual capital-cycle behaviour and perfect mission alignment. Since E(K) = K - A(K) captures all deviation from mission space, its norm measures how far the institution is from regenerative operation.

Formula
d(K, M) = |K - A(K)| = |E(K)|
Example

A climate agency with d(K, M) = 0.6 is 60% deviated from mission-aligned capital. Reducing this distance means filtering fragility frequencies and strengthening mission-mode components.

Donor Psychology Transformation

PEPolitics Section 5.1

The shift in donor mindset from 'purchasing outcomes' (transactional giving) to 'seeding perpetual systems' (generative giving). PSC changes what donors expect and how they relate to the institutions they fund.

Example

Traditional donors ask 'What did my money buy this year?' PSC donors ask 'How many cycles has my capital completed?' The relationship shifts from accountability for spending to celebration of regeneration.

Ease-Based Compliance

AoEAoE Section 5

The design philosophy of making preferred behaviour the path of least resistance. Rather than asking 'how do we make people comply?' ease-based design asks 'how do we make compliance the natural default?' Achieves higher compliance rates at lower cost.

Example

Organ donation rates: opt-out countries (ease-based) achieve 90%+ donation; opt-in countries (effort-based) achieve 15-30%. Same population, different architecture, vastly different outcomes.

Economic Invisibility

InternetInternet Section 7

The condition where valuable activity occurs without generating measurable economic signals. When transactions cannot be recorded or compensated, the activity appears economically worthless despite creating real value.

Example

A forum moderator who maintains community quality creates enormous value but receives no compensation because there's no mechanism to connect their work to payment. Their contribution is economically invisible.

Eigenmodes of Alignmentλ

OAIAOAIA Section 4.5

Eigenvalues of the alignment transform A that quantify alignment fidelity. Regenerative modes have λ = 1 (survive intact across cycles). Damped modes have 0 < λ < 1 (decay each cycle). Fragility modes have λ = 0 (scrubbed by Δ).

Formula
A(K) = λK
Example

A PSC-funded institution has λ = 1 for mission modes—capital regenerates perfectly each cycle. A grant-funded lab has λ < 1—each cycle loses capability. The eigenvalue predicts decay trajectory without simulation.

Embedded Extraction

PPPPPP Section 5.3

The structural feature of PPPs where private capital enters with expectation of risk-adjusted returns through availability payments, user charges, or refinancing gains. Extraction diverts resources from capability renewal and imposes temporal discipline oriented toward return realization rather than regeneration.

Example

A toll road PPP extracts returns through user charges, creating incentives to maximize throughput and minimize maintenance—exactly opposite to public-good optimization.

End-of-Contract Problem

PPP-TATA Section 4

The predictable degradation in PPP performance as contracts approach termination. Operators have declining incentives to maintain assets they won't own, creating systematic end-of-contract underinvestment.

Example

In the final years of a 30-year PPP, the operator minimises maintenance and investment. Assets are handed back in degraded condition. The problem is structural—rational given incentives.

Enforcement (CEA Primitive)

CEACEA Section 2.4

The fourth CEA primitive: violation triggers actual response—not discussion about response, but response itself. Enforcement requires pre-defined consequences that execute without requiring new decisions.

Example

Weak: 'We will address any shortfalls in our diversity targets.' Strong: 'If targets are missed, automatic hiring freeze for non-diverse candidates in affected departments until targets are met.'

Enforcement as Ambiguity Compensation

IMGIMG Section 6

The insight that enforcement does not create alignment but compensates for semantic ambiguity. Where purpose is unclear, contested, or implicit, governance must rely on authority to resolve disputes. Where meaning is explicit and structurally referenced, much enforcement becomes unnecessary.

Example

A charity with unclear purpose requires detailed expense policies and approval chains (enforcement); one with explicit purpose objects needs only light guidelines because actors can self-govern by asking 'does this serve P₁?'

Enforcement as Deviation Correction

Pre-GovPre-Gov Section 2.3

The narrow function of correcting or sanctioning deviations once they occur, through penalties, sanctions, revocation of authority, legal action, or disciplinary procedures. Enforcement presupposes both governance and control; heavy reliance on it signals unclear or unrealistic boundaries.

Example

Firing an employee for expense fraud is enforcement—it corrects a deviation from rules but cannot repair the upstream ambiguity about what expenses legitimately serve institutional purpose.

Enforcement Deficit

CEA-PledgesPledges Section 3

The gap between pledged commitments and the mechanisms available to ensure their fulfilment. Large enforcement deficits mean pledges are aspirational rather than binding.

Example

100 companies pledge net-zero by 2050. No entity has authority to enforce this, verify claims, or impose consequences. The enforcement deficit is total—pledges are voluntary in every sense.

Enforcement Escalation

Pre-GovPre-Gov Section 3.4

The dynamic where control failure leads to intensified sanctions, making enforcement routine rather than exceptional. Enforcement-heavy systems signal distrust, frame actors as potential deviators, and encourage compliance minimalism—doing what is required to avoid sanction rather than what sustains purpose.

Example

A company responds to expense irregularities by requiring receipts for all purchases over $5, manager approval over $25, and VP approval over $100—actors spend more time on documentation than judgment.

Enforcement Gap (Contracts)

PPP-WCFWCF Section 5

The distance between contract terms and actual enforced behaviour. Gaps emerge from incomplete monitoring, enforcement costs, relationship considerations, and deliberate non-enforcement.

Example

A contract specifies maintenance standards. Monitoring is expensive and incomplete. Standards are violated. The public lacks resources or will to enforce. The gap between contract and practice widens.

Enforcement Gap (NFT)

NFTsNFTs Section 8

The distance between what smart contracts specify and what actually happens in NFT markets. This gap exists because code cannot compel behaviour—it can only execute when called by platforms that may choose not to call it.

Example

100% of NFTs specify creator royalties in their smart contracts. Less than 20% of secondary sales actually pay those royalties. The gap between specification and reality defines the enforcement failure.

Episodic Reform Cycle

ILAILA Section 3.3

The third Learning Fragility Cycle: learning happens in bursts after crises, then stops until the next crisis. Post-mortems produce recommendations that fade within months. Crisis creates temporary openness to change; stability returns the institution to its default mode.

Example

After a major failure, a company commissions a review, implements reforms, and declares the problem solved. Within 18 months, the reforms have eroded and similar failures recur.

Epistemic Accounting Failure

PPP-ABSABS Section 2

Accounting system deficiencies that arise from missing concepts rather than poor measurement. The accounting system cannot represent what its conceptual framework doesn't recognise.

Example

Public accounting lacks concepts for 'mission alignment' or 'capability continuity.' It's not that these are hard to measure—the framework doesn't recognise them as things that should be measured.

Epistemic Corruption

ILA-EBDEBD Section 7

The systematic distortion of evidence, methods, and conclusions to serve interests other than truth. Epistemic corruption differs from error—it involves knowingly compromising knowledge production.

Example

Designing evaluations to produce desired results, selectively reporting findings, and framing conclusions to protect interests—the knowledge system is corrupted in service of other goals.

Error-Without-Blame

ILAILA-EBD Section 4.3

Mechanisms that allow acknowledgment of institutional mistakes without assigning blame to current or past authority holders. By separating error recognition from blame attribution, these mechanisms reduce the legitimacy cost of learning.

Example

Aviation's incident reporting system creates error-without-blame: pilots report near-misses without career consequences. The system learns without threatening individual authority.

Escalation Architecture

IOASection 4.4: Escalation Boundaries

The fourth domain of IOA: how institutions determine what gets elevated to leadership attention, what remains at operational level, and where boundaries exist between normal operations and exceptional intervention. Escalation architecture prevents both under-escalation (crises developing unnoticed) and over-escalation (leadership drowning in operational matters).

Example

A hospital has clear escalation architecture: clinical complications escalate through medical hierarchy; resource constraints escalate through administrative hierarchy; patient complaints escalate through quality hierarchy. Each type of issue has defined escalation triggers, pathways, and ceiling levels.

Escalation Boundaries

IOASection 4.4: Escalation Boundaries

The thresholds and pathways that determine when issues move between institutional levels. Well-designed escalation boundaries ensure appropriate issues reach appropriate decision-makers. Boundary failures include: boundaries too high (issues never escalate until crisis), boundaries too low (leaders overwhelmed with operational matters), and boundary confusion (unclear where to escalate what).

Example

A compliance issue in a subsidiary should escalate to group compliance when it crosses certain thresholds. If boundaries are undefined, either everything escalates (paralysis) or nothing does (hidden risk). Functional escalation boundaries specify triggers, pathways, and response expectations.

Escalatory Grievance Cycles

LGITLGIT-MFC Section 4.2

Moral fragility pattern where grievance authority must expand in scope or intensity to maintain its salience and institutional justification. Produces polarisation rather than correction as authority becomes dependent on continuous grievance inflation.

Formula
Escalation when: grievance categories broaden, moral intensity increases despite diminishing harm, disagreement interpreted as evidence of deeper injustice
Example

An advocacy organisation interprets declining public support as proof that grievance has not been taken seriously enough—prompting expansion that further accelerates legitimacy decay.

Evaluation Theatre

ILA-ALRALR Section 5

The performance of evaluation activities without genuine intent or capacity to act on findings. Evaluation theatre satisfies accountability requirements while insulating the organisation from learning.

Example

Hiring prestigious evaluators, publishing glossy reports, and hosting dissemination events—while ensuring evaluators have no access to decision-makers and findings have no path to implementation.

Evidence Filtration

ILA-ALRALR Section 4

The systematic process by which information is selected, summarised, and presented in ways that preserve preferred conclusions. Evidence filtration makes learning impossible because decision-makers never encounter unfiltered reality.

Example

Field reports are summarised by regional managers, then by department heads, then by executives. At each level, information that reflects poorly on the summariser is softened. Leadership receives curated reality.

Evidence Laundering

ILA-EBDEBD Section 5

The process of transforming threatening findings into acceptable conclusions through methodological criticism, reframing, or selective quotation. Evidence is laundered when its original meaning is lost through handling.

Example

A study finding 'no impact' is laundered into 'promising early indicators' through selective quotation, optimistic interpretation, and emphasis on limitations that might explain the null result.

Evidence Toxicity

ILA-EBDEBD Section 2

The degree to which information threatens institutional stability. High-toxicity evidence challenges core beliefs, threatens powerful stakeholders, or requires changes that the institution cannot make.

Example

Evidence that challenges a minor practice has low toxicity—it can be absorbed. Evidence that the organisation's founding theory is wrong has maximum toxicity—it threatens everything.

Ex Ante Commitment Evaluation

CEACEA-App Section 7.2

The practice of evaluating commitments before adoption by asking whether they materially alter the future option set in a way costly to reverse. Requires inspection of structural properties (persistence, constraint, non-bypassability, verification, consequence) rather than forecasting outcomes.

Example

Rather than asking 'Is this net-zero target ambitious?' ask 'Does this commitment constrain future capital allocation in a way that survives political turnover?' If no, non-delivery is the default outcome.

Ex-Ante Legitimacy

PPPGDS Section 4

Legitimacy established before choice occurs, not reconstructed afterward. A decision exhibits ex-ante legitimacy if and only if the selected action belongs to the governed decision surface at the moment of choice.

Example

A procurement system with ex-ante legitimacy constrains which contract forms are admissible before proposals are submitted, rather than auditing transactions after contracts are signed.

Exception Trap Archetype

CEACEA-PG Section 4.5

Fifth performative governance archetype preserving formal commitments while enabling routine override. Broad exception clauses ('where feasible', 'subject to context'), discretionary override powers, normalisation of 'temporary' deviations. Over time, exceptions become dominant mode.

Example

Policy requiring environmental impact assessment 'except where urgency requires expedited approval.' Exception pathway used for 80% of decisions; formal commitment technically unviolated but structurally hollow.

Exchange Asymmetry

PPP-MECMEC Section 3

Imbalance in market exchanges where one party systematically gains at the other's expense. Asymmetry often reflects missing constitutional preconditions—information gaps, enforcement failures, or misaligned incentives.

Example

Private PPP partners have information, expertise, and time advantages over public partners. The exchange appears equal but is constitutionally asymmetric—private partners systematically gain.

Exchange Semantics

PPPMEC Section 6

The meaning structure embedded in what exchange is permitted to optimise. Current exchange semantics treat all tradeable objects as equivalent—optimisation is indifferent to whether it depletes or regenerates. A reconstituted exchange semantics would distinguish extractive from regenerative operations at the architectural level.

Example

Regenerative exchange semantics would not permit the same transaction type for depleting an aquifer and for replenishing one—the architecture would encode different meanings, permissions, and obligations for each.

Execution Authority

CEA-LTELTE Section 3

The power to translate decisions into action and ensure implementation. Without execution authority, even correct decisions remain unimplemented because no one has the power to make them happen.

Example

A strategy team identifies the right approach but has no authority over operational units. The learning exists; execution authority doesn't. The strategy remains a document.

Execution Monitoring

CEA-LTELTE Section 5

The systems for tracking whether decisions are being implemented as intended. Without execution monitoring, organisations cannot know if learning-based decisions are becoming practice.

Example

A new policy is announced. Six months later, no one knows if it's being followed because no monitoring exists. Implementation may be complete, partial, or zero—unknowable without monitoring.

Execution Without Regeneration

CEACEA-LTE Section 4.3

A partial architecture where institutions act but cannot sustain action. Enforcement exists without Regenerative Cycle Architecture. Produces reform bursts followed by exhaustion, backlash-driven reversals, and overcorrection under crisis followed by retrenchment.

Example

Crisis-driven reform often accelerates fragility rather than reducing it. Under stress, institutions sacrifice learning and enforcement for immediate authority, undermining long-term viability.

Externalities

AcademicSee: Regenerative Economic Architecture, Feedback Closure

Costs or benefits affecting parties not directly involved in a transaction—pollution is a negative externality, education a positive one. IRSA's Regenerative Economic Architecture shows how to internalise externalities architecturally: designing systems where external effects flow back into the system as feedback, creating self-correcting dynamics.

Example

Factory pollution harms nearby residents. Traditional solution: tax or regulate. REA approach: design industrial architecture where pollution costs automatically flow back to producers, making clean production the path of least resistance.

Extraction Rate

REAREA Section 5.1

The proportion of value that flows from beneficiaries back to capital providers as interest, dividends, or required returns. Regenerative capital has zero extraction—all value either stays with beneficiaries or recycles to help future beneficiaries.

Formula
Extraction = Value to Capital Providers / Total Value Generated
Example

A 7% interest loan extracts 7% annually. Equity extracts via dividends and governance. PSC extracts 0%—recycled capital helps new beneficiaries, not original funders.

Extractive Grievance

LGITLGIT-PEPG Section 4.2

Grievance that persists beyond its corrective justification, extracting authority, resources, or status without corresponding reduction in injustice. The grievance has transitioned from corrective to extractive—it yields returns but no longer corrects.

Example

A grievance regime that continues unchanged despite evidence that the original harm has been substantially addressed—authority persists because architecture prevents decay, not because injustice persists.

Extractive Performance Archetype

ILAILA-ALR Section 4.4

One of five Anti-Learning Regime archetypes. An institution where performance metrics have been optimised at the expense of underlying purpose. The institution performs excellently on measures while failing on mission. Goodhart's Law has become institutional architecture.

Example

A school system with excellent test scores but declining actual learning. Teachers have optimised for the test, not for education. The institution is performing maximally while learning minimally.

Extractive Transition

LGITLGIT Section 4.2

The phase change when grievance-based authority shifts from corrective to extractive—drawing legitimacy from historical claims while imposing increasing costs on institutional adaptability, performance, and trust.

Example

When grievance authority extracts compliance rather than enables correction, constrains institutional learning, and justifies itself recursively rather than empirically.

Extractive vs Regenerative Logic

RCTRCT Section 3.1

Extractive capital seeks return-to-source (interest, dividends, profit), creating drain on beneficiaries. Regenerative capital seeks system-strengthening, where returns flow back into the system to benefit future participants rather than external capital holders.

Example

A traditional loan extracts $110K from a small business for a $100K loan (extractive). PSC provides $100K that cycles to help multiple businesses without extracting profit (regenerative).

Failed Constitution

NFTsNFTs Section 2

A governance framework that cannot achieve its stated purpose because essential enforcement mechanisms are absent. The constitution may specify rights and obligations, but without enforcement, it functions only as aspiration.

Example

NFT smart contracts specify artist royalty percentages, but marketplaces can ignore these specifications. The 'constitution' of the smart contract cannot govern actual behaviour.

Failure Cascade

CEACEA-LTE Section 4.5

A sequence in which weakness in one architectural layer propagates through the system, producing compounding dysfunction. Learning decouples → commitments lose grounding → enforcement becomes discretionary → legitimacy erodes → learning is suppressed. Once initiated, cascades are difficult to arrest without architectural intervention.

Example

Cultural reform, leadership change, or additional data typically accelerates failure rather than resolving it—because the intervention doesn't address the architectural gap that initiated the cascade.

Fallback Conditions

Pre-GovPre-Gov Section 5.5

Explicit specification of circumstances under which control or enforcement mechanisms are triggered. Rather than allowing oversight to expand opportunistically, fallback conditions define what constitutes a breach, when discretion has failed, and how corrective action should occur—making enforcement legible rather than arbitrary.

Example

A fallback condition might state: 'If quarterly mission-alignment score falls below 60%, the board convenes emergency review; if it falls below 40%, autonomous grant-making authority is suspended pending restructure.'

Family Charter

Family OfficesFamily Offices Section 10

A founding document that articulates family values, purposes, governance structures, and decision-making principles. Charters attempt to create institutional memory that survives individual members.

Example

A charter specifying that 20% of wealth must always be dedicated to impact investing creates a constraint that persists across generations, preventing complete drift toward pure return maximisation.

Family Enterprise

Family OfficesFamily Offices Section 16

The operating businesses owned by a family that create both wealth and identity. Family enterprises complicate wealth management because they carry emotional significance beyond their financial value.

Example

Selling the family business might be financially optimal, but the business represents three generations of effort and family identity. The enterprise has value that net present value calculations cannot capture.

Feedback Closure

ILA-CoreILA-Core Section 5

The completion of a learning cycle from action to outcome observation to action adjustment. Open feedback loops mean outcomes are never observed or observations never influence actions.

Example

A program launches, delivers services, and claims success. Without tracking outcomes and connecting them back to program design, the feedback loop is open—no learning can occur.

Feedback Penalty GradientFPG

ILAILA-ALR Section 3.2

A diagnostic metric measuring the career or reputational cost of providing negative feedback as a function of the feedback's severity. Positive FPG means more serious problems carry higher costs to report—creating systematic bias toward reporting minor issues while suppressing major concerns.

Example

In an organisation with high FPG, reporting a typo in a document carries no risk, but reporting a strategic flaw exposes the reporter to retaliation. Information flow is inversely proportional to importance.

Feedback Suppression

LGITLGIT-MFC Section 3.4

When signals that would ordinarily prompt updating—counterevidence, unintended consequences, mission drift—are systematically filtered, penalised, or reclassified as moral violations. The most diagnostic indicator of moral fragility.

Example

When raising outcome data that contradicts policy rationale becomes career-limiting or morally suspect, the system has entered feedback suppression and lost self-correction capacity.

First Regenerative Welfare Theorem

GERCGERC Section 4

The theorem stating that any Δ-Λ equilibrium allocation is regeneratively feasible. This is the regenerative analog to the First Welfare Theorem—it guarantees that equilibrium outcomes satisfy the temporal constraints necessary for genuine regeneration.

Example

If a PSC system reaches Δ-Λ equilibrium, the First Theorem guarantees that its resource flows are temporally sustainable—no hidden temporal debts, no unfunded future obligations.

First-Class Idea

INAINA Section 3.1

An idea—such as a purpose, intent, mandate, hypothesis, or commitment—that is treated as a governance object that can be: uniquely identified, explicitly represented, referenced independently, related to other objects, and persisted across time. First-class ideas have identity independent of any particular container.

Example

Rather than mission being text in a PDF, the mission becomes object M₁ that can be queried, versioned, linked to implementing decisions, and traced across organizational changes.

Five CEA Primitives

CEACEA Section 2

The necessary elements for robust commitment architecture: (1) Binding - commitment connected to actual consequences; (2) Persistence - survives leadership changes; (3) Verification - observable success criteria; (4) Enforcement - violation triggers response; (5) Non-bypassability - cannot be circumvented.

Example

Analysing a diversity commitment: Is it bound to consequences? Does it survive CEO change? Can we verify compliance independently? What happens if violated? Can it be bypassed through exceptions?

Five Functional Layers

UACCUACC Section 2

The architectural framework of UACC consisting of: (1) Risk Absorption—concessional capital absorbs first-loss risk; (2) Temporal Smoothing—patient capital matches deployment to mission timelines; (3) Crowd-In—catalytic capital leverages additional investment; (4) System Value Formation—generates measurable impact beyond financial returns; (5) Perpetual Cycles—recycling mechanisms enable infinite-horizon operation.

Example

CEFC (Clean Energy Finance Corporation) demonstrates all five layers: government capital absorbs risk (L1), 15-year loan terms match project lifecycles (L2), each $1 crowds in $2.40 private capital (L3), carbon reduction measured systematically (L4), and loan repayments recycle into new projects (L5).

Flows Over Stocks

PPPABS Section 3.1

The fundamental orientation of public accounting toward short-term revenue and expenditure flows rather than long-term asset conditions and capabilities. Even under accrual accounting, practical use remains dominated by annual flow metrics: deficits, surpluses, and net operating balances. Stocks—physical infrastructure, institutional capability, system resilience—are secondary.

Example

Infrastructure maintenance is budgeted as annual expenditure, encouraging deferral beyond the reporting period to improve current fiscal performance, even when this worsens long-term outcomes by fragmenting capital logic.

Formalisation Without Authority

NFTsNFTs Section 3

The process of encoding agreements into formal structures (contracts, code) without corresponding authority to enforce them. The formalisation creates an appearance of governance that actual practice contradicts.

Example

A smart contract formally specifies a 10% royalty. Without authority to enforce this across all marketplaces, the formalisation is meaningless—any marketplace can implement zero royalties.

Forward Invariance

FRSFRS Section 3.1

The property that system trajectories remain within a viable region S ⊆ X for all time. Forward invariance ensures the system never evolves into failure states—if x₀ ∈ S, then xₜ ∈ S for all t ≥ 0. This is the first prerequisite for regeneration.

Formula
x₀ ∈ S ⇒ xₜ ∈ S ∀t ≥ 0
Example

A hospital's forward invariance means equipment ages, staffing levels, and maintenance thresholds always remain within clinically safe bounds—the system architecture prevents collapse into failure states.

Foundations of Regenerative Systems

FRSFRS Section 1

The structural properties that enable systems to renew themselves across time. FRS identifies the necessary conditions for regeneration: purpose persistence, resource cycling, adaptive capacity, and intergenerational coherence.

Example

FRS explains why some institutions (Dutch water boards) regenerate for centuries while others (most startups) fail within years—the difference is foundational architecture, not intentions.

Four Capital Classes

RCTRCT Section 2.2

The complete taxonomy of capital: (1) Debt—extracts interest, creates liability; (2) Equity—extracts profit, shares ownership; (3) Grants—no extraction but terminal (capital depletes); (4) Regenerative Capital—no extraction, perpetual (capital recycles). PSC is the primary implementation of regenerative capital.

Example

A foundation considering how to deploy $1M can choose: loans (get repaid + interest), equity investment (get ownership + dividends), grants (give away once), or PSC (give as gift that recycles).

Four Fragility Cycles

RC-WDRC-WD Section 2

The four distinct cycles that can disrupt development capital: (1) Political fragility (elections, 3-5 years), (2) Financial fragility (recessions, 7-12 years), (3) Capability fragility (staff turnover, 2-5 years), (4) Civic fragility (donor fatigue, 2-4 years). RDF addresses all four simultaneously.

Example

A climate adaptation project might survive political change only to be cut during a recession, then survive that only to lose key staff. RDF decouples capital from all four fragility cycles.

Four Fragility Cycles (PPP Context)

PPPPPP Section 4.1

Political cycles (elections, policy shifts), Financial cycles (interest rates, refinancing), Capability cycles (asset decay, skill loss), and Civic cycles (public attention, legitimacy). PPPs couple capital to all four cycles rather than decoupling from them.

Example

A PPP for water infrastructure remains vulnerable to: political renegotiation after elections, refinancing risk when rates change, capability degradation from deferred maintenance, and civic backlash from service quality issues.

Four Governance Layers

Pre-GovPre-Gov Section 2

The hierarchical structure of Pre-Governing: (1) Pre-Governing—conditions that enable coherent governance; (2) Governing—rules for decision-making; (3) Control—execution and monitoring; (4) Enforcement—consequence management. Each layer governs the one below.

Example

A constitution (pre-governing) establishes how laws can be made (governing), which agencies implement them (control), and courts that adjudicate violations (enforcement).

Four Structural Invariants (REA)R, γ, Δ, Λ

REAREA Section 2

The four mathematical conditions that must hold for a capital system to be regenerative: R (recycling rate), γ (capability return), Δ (decoupling operator), and Λ (alignment operator). Together they define the regenerative criterion.

Formula
Regenerative = (R ≥ 0.8) ∧ (γ ≥ 1.0) ∧ Δ ∧ Λ
Example

Traditional grants fail on R (no recycling). Debt fails on γ (extracts rather than generates). Equity fails on Δ (coupled to market cycles). Only regenerative capital satisfies all four.

Fragility and Burnout

AoEAoE Section 4.4

The fourth hidden cost of enforcement: systems requiring constant vigilance are inherently fragile. Enforcement capacity degrades under stress precisely when it's most needed. AoE systems remain stable under pressure because compliance doesn't depend on active monitoring.

Example

During COVID, organisations with strict compliance requirements collapsed as monitoring capacity disappeared. PSC systems continued operating because compliance was structural, not supervised.

Fragility Cycles

RCARCA Section 2.2

Short-term, volatile cycles that can disrupt long-horizon missions if they control capital flows. Four types: Financial (markets, recessions), Political (elections, policy shifts), Capability (staff turnover, leadership changes), and Civic (public attention, donor fatigue).

Example

A 100-year climate adaptation project fails because it's governed by 4-year political cycles—when governments change, funding disappears. This is political fragility disrupting mission alignment.

Fragility Inheritance

RCSRCS Section 2.3

The process by which external volatility propagates into institutional capability through capital architecture. When capital is coupled to fragility cycles, it inherits their period, volatility, and discontinuity—regardless of managerial intent.

Example

A hospital funded by debt inherits financial fragility: recessions reduce revenue, debt service consumes capability funding, maintenance is deferred. The volatility entered through capital design, not operational failure.

Fragility Invisibility

PPP-ABSABS Section 5

The inability of accounting systems to represent accumulating risks that haven't yet materialised. Deferred maintenance, eroding capabilities, and system fragility are invisible until crisis—when they appear as sudden shocks.

Example

Thirty years of deferred maintenance creates catastrophic fragility. Annual accounts show 'savings.' The fragility is invisible until the bridge collapses, at which point it appears as an unexpected expense.

Fragility RegimeF

FRSFRS Section 2.4

The specification of shock characteristics endemic to an institutional domain—amplitudes, temporal correlations, volatility constraints, and admissible disturbances. Regeneration is always defined relative to a fragility regime, never relative to all possible shocks.

Formula
εₜ ~ F
Example

A climate adaptation system's fragility regime includes 4-year political cycles, annual budget volatility, and decadal climate recurrence patterns—but not asteroid impacts or civilization collapse. The Δ operator is designed for shocks within F.

Fragility Transmission Channels

RCSRCS Section 4.3

The four specific mechanisms by which fragility enters capital systems: (1) Liabilities transmit financial fragility, (2) Discretionary renewal transmits political fragility, (3) Crisis-triggered allocation transmits capability fragility, (4) Donor-dependent funding transmits civic fragility.

Example

PSC eliminates all four channels: no liabilities, no discretionary renewal, no crisis-triggering, no donor dependence. This is why PSC achieves full decoupling.

Fragility-Based Control

PEPolitics Section 3.2

A mechanism where funders maintain influence over institutions by keeping them in a state of financial fragility—dependent on the next grant or allocation. Institutions in fragile states are more compliant with funder preferences.

Example

A nonprofit that must re-apply for funding annually is more likely to align its programs with funder priorities, even if those priorities diverge from community needs.

Fragility-Boundedness

FRSFRS Section 3.3

The requirement that regeneration properties hold under admissible shocks drawn from the fragility regime F. A system is fragility-bounded if E[V(x_{t+T}) | εₜ ∈ F] ≥ V(xₜ). This distinguishes regeneration from robustness—regeneration handles endemic shocks, not all possible disturbances.

Formula
E[V(x_{t+T}) | ε_{t:t+T} ∈ F] ≥ V(xₜ)
Example

A civic organization is fragility-bounded if it maintains capability despite typical donor cycle fluctuations and volunteer turnover—it doesn't need to survive a complete funding collapse, just endemic volatility.

Fragility-Cycle FunctionsF = {F_fin, F_gov, F_cap, F_civ}

OAIAOAIA Section 2.1

The set of cycles that cause institutional decay when coupled to capital. Fragility cycles include financial volatility (revenue shocks), political cycles (elections, budget calendars), capability degradation, and civic fragility (donor enthusiasm waves).

Example

When hospital capital follows F_gov (3-4 year political cycles) rather than M (5-7 year equipment cycles), renewal systematically misses windows. The fragility cycle overrides mission requirements.

Fragility-Dominated Domain

GERCGERC Section 3

The regime where fragility cycle periods T(F) are shorter than mission cycle periods T(M). In this domain, short-term volatility disrupts long-term regeneration—political cycles interrupt infrastructure projects, funding cycles destabilize research programs, market cycles derail education completion.

Formula
T(F) < T(M)
Example

Higher education operates in a fragility-dominated domain: political cycles (4 years) and funding cycles (1 year) are far shorter than education cycles (4+ years) and career impact cycles (40+ years).

Fragility-Invariant Subspace𝒦* = {K ∈ 𝒦 | ∂K/∂Fᵢ = 0}

OAIAOAIA Section 2.2

The space of capital-cycle functions that have zero dependence on fragility cycles. This is the output of the decoupling operator Δ—capital in 𝒦* is immune to political turnover, revenue volatility, donor cycles, and capability collapse.

Example

PSC capital lives in 𝒦* by design: its structural invariants (non-liability, non-extraction, multi-cycle continuity) mathematically guarantee zero dependence on fragility cycles.

Fragility-Resilience Welfare Theorem

GERCGERC Section 4

The third welfare theorem establishing that within the fragility-dominated domain, Δ-Λ equilibria achieve Pareto improvements over unstructured allocations. This theorem justifies regenerative institutional design precisely where it's most needed—in fragility-dominated sectors.

Example

In education (fragility-dominated), a PSC structure (Δ-Λ equilibrium) produces better outcomes than direct market provision—the theorem explains why structural intervention improves welfare here but may not elsewhere.

Friction DifferentialF

AoEAoE Section 2.1

The difference in effort, time, or cognitive load between taking the preferred action and taking an undesired alternative. When F > 0, the preferred action is easier. AoE designs maximise F by reducing friction on the preferred path and/or increasing friction on alternatives.

Formula
F = Eₙ − Eₚ (where Eₙ = effort for non-preferred action, Eₚ = effort for preferred action)
Example

Before PSC: applying for grants requires 200 hours of proposals (high friction). Alternative: not helping beneficiaries (zero friction). F is negative. After PSC: capital recycles automatically. F becomes positive.

Frozen Grievance Cycles

LGITLGIT-MFC Section 4.1

Moral fragility pattern where grievance authority persists long after conditions have materially changed, but without overt expansion. Characterised by absence of sunset mechanisms, stable but brittle authority, and growing disconnect between framing and lived conditions.

Example

A legacy equity framework appears 'stable' but produces declining trust, quiet disengagement, and passive resistance rather than overt conflict—the hallmarks of frozen grievance.

Function-Instrument MatrixM_ij

UACCUACC Section 4

A mapping that links each of the five functional layers (i) to appropriate financial instruments (j). The matrix guides capital structure design by showing which instruments serve which architectural functions, enabling systematic blended finance construction.

Formula
M_ij ∈ [0,1] where M_ij represents suitability of instrument j for function i
Example

M_RiskAbsorption,FirstLoss = 0.95 (first-loss tranches highly suitable for risk absorption). M_CrowdIn,Guarantee = 0.85 (guarantees effective for crowd-in). M_TemporalSmoothing,ShortLoan = 0.20 (short loans poor for temporal smoothing).

Future-Cycle AccessC

AoEAoE Section 2.3

The expected value of maintaining access to future system benefits. When defection costs future access (not through punishment but through natural system exclusion), cooperation becomes self-interested even without enforcement.

Formula
C = U(Aₜ₊₁) (expected utility of continued system access)
Example

App Store developers comply with rules not because Apple actively polices every app, but because losing access to future distribution (C) exceeds any benefit from rule violation.

General Equilibrium Regenerative Capital

GERCGERC Section 1

A macroeconomic framework extending regenerative capital theory to economy-wide equilibrium. GERC models conditions under which regenerative capital becomes self-sustaining across sectors, creating positive feedback loops that make extraction economically suboptimal.

Example

GERC analyzes when an economy reaches a tipping point where regenerative institutions become the default—not from mandate but from superior economic performance at scale.

Generational Wealth Transfer

Family OfficesFamily Offices Section 11

The process of passing accumulated assets and their associated knowledge, values, and purpose from one generation to the next. Successful transfer requires transmitting context, not just assets.

Example

Transferring $100M without transferring understanding of why certain holdings exist, what family values guided accumulation, and what purposes the wealth should serve creates a hollow inheritance.

Goal-Weight Separation

SGAISGAI Section 2

The principle that AI goals should exist independently of the neural network weights that implement them. Separation enables goals to persist across model updates, be inspected, and be modified under governance constraints.

Example

A safety goal encoded as a governed object can survive model retraining—the new model loads the goal object and adapts its weights to respect it, rather than hoping fine-tuning preserved the goal.

Governable Autonomy

Pre-GovPre-Gov Section 5.6

The condition achieved when intent, invariants, and decision boundaries are explicit, allowing agents—human or artificial—to act autonomously without undermining institutional purpose. Governable autonomy transforms autonomy from a threat requiring constant surveillance into a capability that enables distributed judgment.

Example

A grant officer with governable autonomy can approve appropriate grants confidently because she knows the intent, understands the invariants, and recognises when situations require escalation.

Governance as Intent-Shaping

Pre-GovPre-Gov Section 2.1

The understanding of governance as concerned with shaping the space of legitimate action—defining why a system exists, what it must preserve over time, and which kinds of actions are admissible. Governance operates at the level of meaning and orientation, not behaviour.

Example

A board defines that the institution exists to preserve public access to knowledge, that commercial extraction is prohibited, and that discretion about collection priorities lies with curators—this shapes the space of legitimate action without prescribing every decision.

Governance Capture

CEA-PGPG Section 7

The process by which those who should be governed gain control over the governance mechanisms. Captured governance serves the interests of the governed rather than the governing purpose.

Example

Executives select board members, set meeting agendas, control information flow, and evaluate their own performance. The board is captured—it cannot govern those who control it.

Governance Conflation

Pre-GovPre-Gov Section 2

The persistent confusion in governance discourse of treating governance, control, and enforcement as interchangeable, when they perform fundamentally different functions at different moments in time. This conflation causes institutions to misdiagnose failure and apply wrong remedies, producing brittle systems that appear heavily governed but remain poorly aligned.

Example

When a hospital faces quality problems, it adds more audits (control) and stricter penalties (enforcement), treating these as 'governance reforms'—but never clarifies what patient care should prioritise (governance).

Governance Geometry

PPP-GDSGDS Section 3

The shape and boundaries of decision surfaces that determine what kinds of decisions are possible. Different governance structures create different geometries—some expansive, others narrowly constrained.

Example

A flexible framework agreement creates expansive governance geometry. A rigid specification contract creates narrow geometry. The geometry shapes all subsequent decisions.

Governance Inflation

IMGIMG Section 6

The dynamic where institutions without explicit representation of intent experience escalating disputes that cannot be resolved by reference to shared meaning, only by power. More rules are required to manage conflicts arising from semantic uncertainty, yet the rules themselves create new ambiguities.

Example

A university adds committee after committee to adjudicate resource allocation disputes, each with new procedures and appeals processes, because no one can authoritatively say which activities best serve the university's purpose.

Governance Informality

Family OfficesFamily Offices Section 7

The tendency of family offices to rely on implicit understandings rather than formal governance structures. Informality works while founding members are alive but creates severe problems during transitions.

Example

The patriarch 'just knows' what the family values and makes decisions accordingly. When he dies, there's no documentation of decision criteria, leading to conflict among heirs with different interpretations.

Governance Invariant

Pre-GovPre-Gov Section 3

A condition that must hold across all governance transitions. Pre-Governing establishes invariants that cannot be modified through normal governance processes—they govern governance itself.

Example

A foundation might establish 'perpetual existence' and 'mission primacy' as invariants—no board can vote to dissolve or pivot mission without supermajority across multiple years.

Governance Paradox

Pre-GovPre-Gov Section 1

The observation that governance appears simultaneously ubiquitous and ineffective in contemporary institutions. Rules proliferate, compliance regimes expand, oversight intensifies, and enforcement capacity escalates—yet trust erodes, discretion contracts, and institutional fragility increases.

Example

A regulatory agency doubles its rule count over a decade while public trust in the regulated industry falls by half—more governance produces less governability.

Governance Technology

PEPolitics Section 1.2

A structured mechanism that redistributes decision-making authority, alters incentive landscapes, and changes power relationships between actors. PSC functions as a governance technology because it transforms who controls capital flows and under what conditions.

Example

Traditional grants concentrate power in the funder who decides each year whether to renew. PSC distributes this power—once capital is deployed, it cycles based on beneficiary success, not funder discretion.

Governance Theatre

CEA-PGPG Section 2

The staging of governance activities for audiences (regulators, donors, public) rather than for actual governance purposes. Theatre produces accountability optics without accountability substance.

Example

Publishing board minutes, holding public consultations, and producing annual reports—while actual decisions are made in private, consultations are ignored, and reports omit material information.

Governed Decision Surface

PPPGDS Section 4

The set of actions that are authorised to be chosen at the moment of decision, given an institution's intent, invariants, and delegation boundaries. Governance operates by shaping this surface—determining which options may exist—rather than supervising how options are selected.

Example

A well-governed board defines which strategic classes of action management may propose, rather than reviewing each proposal after it appears. The decision surface is constrained before choice occurs.

Governed Transformation

IMGIMG Section 3

The process by which institutional purpose evolves explicitly rather than through silent reinterpretation. Institutions may legitimately revise or supersede their intent, but change becomes explicit rather than accidental—through governed transformation rather than unnoticed drift.

Example

When a foundation decides to expand its mission, governed transformation means creating a new Purpose Object P₂ that explicitly supersedes P₁, with recorded rationale and provenance, rather than simply reinterpreting what P₁ 'really meant.'

Governed Updating

ILAILA-LLR Section 5.3

Learning that occurs through explicit governance mechanisms rather than informal adaptation. Governed updating specifies who has authority to update what, through what process, with what accountability. Without governed updating, change happens chaotically or not at all.

Example

Constitutional amendment procedures are governed updating for legal systems. Compare to informal norm evolution which lacks governance—it happens, but unpredictably and without accountability.

Governing vs Filtering

PPPGDS Section 5

Governing invalidates options at the level of possibility—illegitimate actions are never generated, proposed, or optimised for. Filtering evaluates options after they have been generated, suppressing or modifying outputs without removing the underlying option from the decision space.

Example

AI content moderation operates as filtering (blocking outputs after generation). Ex-ante AI governance would constrain the optimisation envelope itself, making certain outputs impossible rather than merely detectable.

Grievance Amplification

LGIT-GWDGWD Section 3

The process by which historical grievances are actively intensified rather than allowed to diminish. Amplification occurs through repeated narration, identity attachment, and political mobilisation.

Example

Each retelling of a historical injustice is more vivid and emotionally charged than the last. New generations feel the grievance more intensely than those who experienced the original events.

Grievance Capital

LGITLGIT-PEPG Section 2

Grievance treated as a capitalised political and market signal that can be invested, leveraged, and monetised through political authority, regulatory privilege, and grievance-indexed markets. Grievance acquires asset characteristics: it can be accumulated, traded, and yield returns independent of underlying injustice.

Example

Organisations that accumulate grievance claims as strategic assets—using them to secure funding, regulatory advantage, and political access regardless of whether the original grievance has been addressed.

Grievance Currency

LGIT-PEPGPEPG Section 3

The use of grievances as exchange medium in political transactions. Grievances can be traded, accumulated, and spent—they function as political currency independent of their resolution.

Example

A politician offers grievance acknowledgment in exchange for votes. The acknowledgment has value regardless of whether it leads to resolution. Grievance circulates as currency.

Grievance Entrepreneurship

LGIT-GWDGWD Section 5

The practice of cultivating and exploiting grievances for political, financial, or social gain. Grievance entrepreneurs have incentives to prevent grievance resolution or decay.

Example

Political leaders whose power depends on group grievance have strong incentives to keep grievances active. Resolution would eliminate their political base; amplification strengthens it.

Grievance Half-LifeT^G_1/2

LGITLGIT Section 6.3

The period over which grievance-based authority loses half its justificatory force absent empirical renewal. Not because injustice expires morally, but because authority derived from past conditions weakens unless revalidated.

Example

Authority calibrated to historical conditions loses legitimacy as temporal distance increases—unless renewed by demonstrating that harm persists at comparable magnitude.

Grievance Half-Lifet½(G)

LGITLGIT-MFC Section 3.1

The period required for half of the authority conferred by a grievance claim to be either empirically revalidated, structurally revised, or institutionally sunset. A long or infinite half-life indicates authority persisting independently of outcome evidence or contextual change.

Formula
t½(G) → ∞ signals frozen grievance; declining t½(G) indicates active alignment maintenance
Example

A grievance mandate with 5-year review cycles has finite half-life and renewal mechanisms; one without sunset provisions approaches infinite half-life and accumulates without constraint.

Grievance Half-Life

LGITLGIT-PEPG Section 6.1

The measure of legitimate decay rate for grievance-derived authority—how long should corrective authority persist after correction begins? Permanent grievance has infinite half-life (no decay); regenerative grievance has finite half-life calibrated to correction timelines.

Example

A discrimination policy might have a 10-year half-life—authority tapers as measurable disparities reduce, reaching minimal levels when disparities are eliminated.

Grievance Half-Life

LGIT-GWDGWD Section 2

The time required for a grievance's political and emotional intensity to diminish by half. In healthy political systems, grievances have finite half-lives. Grievance without decay implies infinite half-life.

Example

Traditional societies might see a grievance's intensity halve every generation. Modern grievance amplification can create negative half-lives where grievances intensify rather than decay.

Grievance Industry

LGIT-PEPGPEPG Section 2

The economic sector that profits from the cultivation and exploitation of grievances. This includes media, political organisations, consultants, and service providers whose revenue depends on grievance intensity.

Example

24-hour news cycles require constant outrage. Political fundraising depends on existential threats. Consultants sell grievance management. The industry needs grievances to survive.

Grievance Inflation

LGITLGIT-PEPG Section 2.2

The expansion of grievance claims beyond their original scope and evidence base, driven by the political and market value of grievance signals. New grievances are generated or existing grievances are extended to maintain authority flows.

Example

A body established to address discrimination in one domain expands its grievance claims to adjacent areas—not because new harms are discovered but because expanded grievance sustains expanded authority.

Grievance Monetisation

LGIT-PEPGPEPG Section 6

Converting grievances into economic value through media, politics, legal action, or institutional capture. Monetisation creates economic interests in grievance perpetuation.

Example

A grievance becomes a book, a documentary, a consultancy, a legal case, and a political campaign. Each monetisation channel creates stakeholders invested in grievance continuation.

Grievance Without Decay

LGITLGIT Section 4

The failure mode when grievance-based authority persists indefinitely without temporal governance—retaining binding institutional force while insulated from empirical reassessment, revalidation, or sunset.

Example

DEI mandates that remain structurally unchanged despite evolving conditions, because grievance authority is protected from erosion but never required to demonstrate continued alignment.

Grievance Without Decay

LGIT-GWDGWD Section 1

The condition where historical grievances persist at full emotional intensity indefinitely rather than diminishing over time. Modern communication technology and identity politics combine to prevent the natural decay of historical wrongs.

Example

Events from centuries ago are discussed with the same emotional intensity as contemporary injustices. The grievance has not decayed—it remains politically and emotionally active across generations.

Grievance-Based Authority

LGITLGIT-MFC Definition 1

Decision-making power, exemption, protection, or moral deference granted to an actor or institution on the basis of an institutionalised grievance claim, independent of current empirical conditions. Distinct from grievance expression.

Example

A compliance role with enforcement powers derived from historical discrimination claims exercises grievance-based authority when those powers persist regardless of whether discrimination continues at similar levels.

Grievance-Indexed Markets

LGITLGIT-PEPG Section 2.3

Markets where prices, access, or allocation depend on grievance signals rather than productivity, quality, or other traditional market indicators. Returns flow to grievance claims rather than to competitive performance.

Example

Consulting, training, and compliance industries where revenue depends on the perceived severity of grievance claims—creating economic incentives to maintain or intensify grievance regardless of underlying conditions.

Hard Commitment

CEA-PledgesPledges Section 6

A pledge backed by legal obligations, financial stakes, or structural mechanisms that make non-compliance costly. Hard commitments constrain future behaviour regardless of changing preferences.

Example

A legally binding contract with penalty clauses is a hard commitment—the costs of breaking it are specified and enforceable, constraining behaviour even when preferences change.

Historic Benefaction (Control Case)

PPPPPP Section 6

The examination of historic public benefaction as evidence that durable public goods have been delivered when capital was architected outside short-term political and financial cycles. Durability arose from architectural features (endowments, trusts, separated governance), not donor virtue.

Example

Universities founded through benefaction in the 18th-19th century persist today because capital was removed from annual budgeting, governance was separated from political turnover, and no extraction was embedded.

Horizon Mismatch

PPP-LHCLHC Section 3

The discrepancy between what a mission requires and what institutions can commit to. Horizon mismatch is structural—it cannot be solved by better intentions, only by architectural change.

Example

Climate adaptation requires 100-year horizons. Democratic governments have 4-year horizons. The 25x mismatch makes coherent climate governance structurally impossible without architectural intervention.

How Can Philanthropy Have Lasting Impact?

AcademicSee: Regenerative Capital Theory, Perpetual Social Capital

Traditional philanthropy's impact diminishes over time because capital is consumed rather than cycled. Lasting impact requires capital architecture that compounds—where each deployment strengthens the system's capacity for future impact. This is the core insight of regenerative capital theory.

Example

A $1M grant creates one-time impact. The same $1M structured as PSC with 80% recycling creates 5x cumulative impact over multiple cycles, and the capital persists indefinitely. See: Regenerative Capital Theory, Perpetual Social Capital.

How Can We Measure Real Social Impact?

AcademicSee: R* Index, Regenerative Capital Theory

Traditional impact metrics count outputs (people served, dollars spent) rather than measuring system change. IRSA's R* Index measures regenerative capacity—whether the system is better able to produce positive outcomes in the future. This captures lasting change rather than temporary activity.

Example

'10,000 people trained' is an output. R* asks: is the system better at training people now? Did capability increase? Can the training continue without additional intervention? This measures lasting change.

How Do Organisations Maintain Trust Over Time?

AcademicSee: Legitimacy Drift, LGIT Series

Institutional trust erodes through legitimacy drift—gradual, often invisible loss of credibility through small compromises. Maintaining trust requires active legitimacy investment and architectural protections against legitimacy spending. Trust is capital that must be continuously renewed, not a permanent asset.

Example

A regulator gradually loses public trust despite no single scandal. Legitimacy drifted through accumulated small compromises. See: Legitimacy Drift, Legitimacy Capital, LGIT Series.

Human-in-the-Loop

COASection 6.1: Institutionalised Automation Bias

A design pattern where human oversight is included in AI decision processes. COA critiques superficial human-in-the-loop implementations that provide the appearance of control without substantive intervention capacity. The presence of a human doesn't guarantee retained authority.

Example

The system includes human review as required. But the human reviews 300 cases per day with no alternative analysis, no override authority, and metrics that penalise disagreement. The human is 'in the loop' but the loop is performative, not authoritative.

Hybrid Decision Systems

COASection 5.4: Accountability Continuity

Decision processes that combine human and machine cognition, where outputs result from interaction between AI recommendations and human judgment. Hybrid systems create accountability challenges because responsibility fragments across technical, organisational, and human layers.

Example

A diagnostic system suggests possibilities; doctors consider them alongside their own assessment; nurses implement orders; outcomes emerge from the interaction. When something goes wrong, who is accountable? The question cannot be answered without an accountability architecture.

Idea Graph

INDSection 5: Implementation

The knowledge structure underlying idea-native discovery—a graph where nodes are ideas and edges are typed relationships. The idea graph sits above traditional bibliographic records, linking to them via provenance relationships.

Example

The idea graph contains 'climate change' → INVOLVES → 'greenhouse effect', → HAS_ETHICAL_DIMENSION → 'climate justice', → POLICY_APPROACH → 'adaptation vs mitigation'. Each idea links to containers (books, articles) that embody it.

Idea-Native Architecture (INA)

INAINA Section 1

An architectural framework treating meaning as a first-class governable object. INA separates containers (documents, models, systems) from objects (the meanings they contain), enabling ideas to be addressed, governed, and composed independently of their housing.

Example

Instead of 'the mission statement in our bylaws,' INA allows 'mission object M₁ that can be queried, modified under governance constraints, and referenced by multiple systems simultaneously.'

Idea-Native Discovery

INDSection 1: Introduction

A discovery paradigm where ideas (concepts, themes, symbols, patterns) are first-class navigational objects rather than metadata attached to documents. Users navigate a landscape of ideas and their relationships, with documents appearing as manifestations of those ideas.

Example

Instead of searching for 'books about climate change', a user enters 'climate change' as an idea, sees its relationships to 'greenhouse effect', 'climate justice', 'adaptation vs mitigation', and can explore each—with books, articles, and films appearing as manifestations of each idea.

Idea-Native Finance

SFSF Section 4

A capital architecture in which purpose is represented explicitly, governed independently, and linked to financial flows through formal semantic relationships. The core move: separate meaning from containers. Mission becomes the governing object, capital becomes a carrier whose behavior is conditioned by its semantic binding.

Example

Instead of embedding 'affordable housing' intent in fund documents, idea-native finance creates a housing mission object that capital references. When the fund is refinanced or transferred, the mission object persists independently.

Idea-Native Governance

SGAISGAI Section 5

An architectural approach where goals, intents, and constraints are treated as first-class objects with explicit identity, scope, and semantics. Goals exist independently of any particular model, prompt, or execution environment, enabling intent to persist across system changes.

Example

Rather than embedding 'privacy protection' in training data patterns, idea-native governance creates a privacy object specifying: what counts as private data, when access is permitted, how conflicts with other goals are resolved, and who can modify these rules.

Identity CouplingI

AoEAoE Section 2.2

The degree to which an action reinforces or conflicts with a person's self-concept. When preferred behaviour aligns with identity ('I am the kind of person who...'), compliance becomes self-reinforcing rather than requiring external motivation.

Formula
I = Uᵢₐₑₙₜᵢₜᵧ(p) − Uᵢₐₑₙₜᵢₜᵧ(n)
Example

PSC graduates who pay forward aren't repaying a debt—they're continuing the story of being helped. The identity is 'part of a giving chain' not 'debtor.' I is maximised because paying forward confirms self-image.

Identity Dilution

Family OfficesFamily Offices Section 17

The weakening of shared family identity across generations as the family grows, disperses geographically, and accumulates diverse experiences. Identity dilution undermines the coherence needed for collective governance.

Example

The founding family of 4 shares clear values and identity. By generation three, 28 family members across 6 countries have less in common—maintaining collective governance becomes difficult.

Identity-Grievance Fusion

LGIT-GWDGWD Section 7

The condition where group identity becomes inseparable from historical grievances. Identity-grievance fusion means the grievance is not merely a thing that happened to the group but constitutive of what the group is.

Example

Group membership is defined by relationship to historical injustice. To abandon the grievance would be to abandon the identity. Resolution threatens self-dissolution.

Impact Measurement

AcademicSee: R* Index, Regenerative Capital Theory

The practice of quantifying social or environmental outcomes from interventions. Traditional impact measurement struggles with attribution, counterfactuals, and time horizons. IRSA's R* Index provides a universal regeneration measure that captures system-level change rather than isolated outputs, incorporating temporal dynamics that conventional metrics miss.

Example

A program reports '1,000 people trained' but can't demonstrate lasting change. R* Index measures whether the system's regenerative capacity improved—not just immediate outputs but sustainable capability change.

Impact Overhead

SFSF Section 2.3

Resources devoted to proving alignment rather than producing it. Verification regimes proliferate to compensate for semantic loss—reporting cycles shorten, metrics multiply, assurance layers stack. Enforcement costs scale faster than impact confidence.

Example

A small nonprofit spends 30% of staff time on impact documentation for funders, while a large institution builds a 50-person compliance team that can satisfy process requirements without necessarily improving outcomes.

Implementation Resistance

CEA-LTELTE Section 4

The organisational forces that oppose turning decisions into reality. Resistance emerges from threatened interests, change costs, and inertia—and can defeat even well-designed interventions.

Example

A new system would improve efficiency but threatens the status of the IT department. Implementation resistance from IT manifests as endless objections, delays, and requirements.

Infinite Horizon Analysis

RCTRCT Section 4.4

The mathematical framework for evaluating capital over perpetual time horizons. For regenerative capital with R > 0, system value approaches infinity as time extends, unlike terminal grants which have fixed finite value.

Formula
As N → ∞: TSV → γC₀/(1-R) when R < 1
Example

A $100K PSC fund with R=0.9 and γ=1.2 approaches $1.2M in perpetual system value, compared to $120K for a one-time grant.

Initial CapitalC₀

PSCPSC Section 3.1

The starting capital pool for PSC deployment. Can be from donor gifts, foundation grants, government allocation, or institutional investment.

Example

A donor contributes $100,000 to establish a PSC education fund. C₀ = $100,000.

Institutional Action Chain

CEACEA-LTE Section 2

The six-stage temporal system through which institutions act: Sensing (detecting signals), Interpretation (updating models), Commitment (binding intent), Execution (enforcing commitments), Persistence (surviving across time), and Renewal (outcomes re-entering learning). Failure at any stage breaks the chain.

Example

Climate policy fails not at one stage but through discontinuities: sensing exists (IPCC data), interpretation stalls (models not updated), commitments are symbolic (no binding), execution is deferred (future governments), persistence absent (reversed under pressure).

Institutional Amnesia

INAINA Section 2.3

A symptom of semantic decay characterised by repeated rediscovery of past decisions, rationales, and failures. Without provenance-first architecture, institutions cannot access why their current structures exist or what trade-offs they encode.

Example

A board debates a merger strategy for months before someone discovers the organisation rejected the same proposal fifteen years ago for reasons that remain valid—but this history was buried in meeting minutes no one searched.

Institutional Amnesia

PPPIF Section 1

The persistent pattern where institutions lose memory, reset priorities, and drift from founding missions despite governance reforms. Institutional forgetting is structural rather than behavioural—governance systems are designed to allocate authority within bounded terms, not to preserve obligation across time.

Example

Each new CEO arrives with a 'fresh strategy' that implicitly treats the organisation as newly constituted rather than historically continuous, abandoning lessons, commitments, and trajectories established by predecessors.

Institutional Autonomy

PEPolitics Section 4.1

The capacity of an institution to make decisions based on its mission and stakeholder needs rather than funder preferences. PSC enhances institutional autonomy by providing a stable capital base that doesn't depend on continuous external approval.

Example

A university with PSC-funded scholarships can maintain admission standards without pressure to admit donor-preferred candidates, because the capital regenerates regardless of donor sentiment.

Institutional Capture (Art)

Art MarketArt Market Section 6.2

The process by which museums and other cultural institutions become dependent on market participants (collectors, galleries, auction houses), compromising their ability to provide independent verification or valuation.

Example

Museums accept donated collections with valuation conditions, host exhibitions funded by galleries, and employ curators with market relationships—their verification authority is compromised by these dependencies.

Institutional Coherence

Family OfficesFamily Offices Section 2

The alignment between an organisation's stated purpose, governance structure, and operational practices. High coherence means these elements reinforce each other; low coherence means they conflict.

Example

A family office with generational wealth transfer as its purpose but governance that allows any beneficiary to withdraw fully has low coherence—the governance undermines the purpose.

Institutional Decay

AcademicSee: Regenerative Cycle Architecture, Legitimacy Drift

The gradual deterioration of institutional effectiveness, trust, and capability over time. IRSA's Regenerative Cycle Architecture framework explains decay as the inevitable result of coupling institutional operations to fragility cycles. Regenerative institutions must satisfy both the Decoupling Operator (Δ) and Alignment Operator (Λ) to sustain themselves across generations.

Example

A regulatory agency becomes captured by industry over decades. Traditional view: regulatory failure. IRSA view: the agency's funding and authority cycles were coupled to political cycles, making capture structurally inevitable. See: RCA, Fragility Cycles.

Institutional Exhaustion

IOASection 5: Five Failure Modes

Depletion of institutional capacity for effective action through accumulated IOA failures. Exhausted institutions cannot learn from experience, maintain commitments, channel disagreement, or respond to escalations. They continue formal operations but have lost substantive effectiveness. Recovery requires IOA repair, not just resource infusion.

Example

An international organisation receives adequate funding but cannot execute its mandate. Staff are demoralised, knowledge has been lost, commitments are abandoned, every issue escalates to crisis. The institution is exhausted—not from resource shortage but from operating condition collapse.

Institutional Forgetting

Inst-ForgetIF Section 1

The systematic loss of organisational knowledge, capability, and memory over time. Forgetting is not merely absence of learning but active loss of previously held knowledge through staff turnover, reorganisation, and attention shifts.

Example

A government agency that restructured lost knowledge of why certain contract clauses were included. The clauses were removed in subsequent contracts, recreating problems the clauses had solved.

Institutional Fragility

ACAA Section 4.1

The vulnerability of institutions to external shocks due to funding structure. Four fragility types: financial (market crashes), political (policy changes), capability (talent loss), and civic (mission drift). PSC reduces all four.

Example

A nonprofit dependent on annual grants has high fragility—one policy change or donor exit collapses operations. PSC-backed institutions have reserves and recycling, reducing fragility.

Institutional Immune Response

ILA-EBDEBD Section 3

The automatic organisational reaction to threatening information that works to neutralise, contain, or expel the threat. Like biological immunity, institutional immunity activates without conscious direction.

Example

A researcher producing inconvenient findings finds their methods questioned, their data access revoked, their contract not renewed. No one ordered this—the institution immunologically rejected the threat.

Institutional Invariants

PPPGDS Section 8

What an institution is categorically not allowed to do, regardless of context, benefit, urgency, or performance. Invariants function as structural constraints on the decision surface, shaping what may be proposed rather than evaluating proposals after they appear.

Example

A medical ethics invariant prohibits certain experimental procedures regardless of potential benefit—the option is architecturally excluded, not subjected to case-by-case cost-benefit analysis.

Institutional Learning ArchitectureILA

ILA-CoreILA-Core Section 1

The structural design of how institutions process information, update beliefs, and change practices. ILA recognises that learning is not automatic—it requires deliberate architectural choices that enable evidence to influence action.

Example

An institution with strong ILA has clear paths from evidence to decision-makers, incentives aligned with truth-seeking, and feedback loops that close within relevant timescales.

Institutional Learning Architecture (ILA)

ILAILA Section 1

A structural framework for designing institutions that can genuinely update themselves. ILA treats learning as a first-class governance object, introduces Learning Authority as a design primitive, and creates Protected Update Pathways that translate insight into institutional change.

Example

A hospital implements ILA by creating a Learning Authority with mandate to change clinical protocols based on outcome data, protected from operational pressure to maintain the status quo.

Institutional Memory (Infrastructure)

IOASection 4.2: Learning and Institutional Memory

The capacity of an institution to retain and access relevant experience, knowledge, and precedent across time. Institutional memory is not merely documentation but living knowledge that informs current decisions. IOA treats institutional memory as infrastructure requiring active maintenance, not a passive archive. See also: Institutional Memory (Learning Context) for the ILA perspective.

Example

An NGO faced a similar crisis fifteen years ago. With functional institutional memory, current leaders can access what was tried, what worked, and what failed. Without it, they reinvent solutions and repeat mistakes, treating each crisis as unprecedented.

Institutional Memory (Learning Context)

ILA-CoreILA-Core Section 6

The organisational capacity to retain and access past learning. Weak institutional memory means lessons are lost through staff turnover, document decay, or organisational amnesia—forcing repeated learning. See also: Institutional Memory (IOA) for the infrastructure perspective.

Example

A new leader launches an initiative identical to one that failed 10 years ago. Without institutional memory, the organisation cannot learn from its own history.

Institutional Memory Without Myth

IMGIMG Section 1

An approach to preserving institutional purpose across time without relying on narratives that mythologize and distort. Structural memory treats purpose as a governable object that persists independently of stories told about it.

Example

Instead of 'we've always valued customer service' (narrative memory that can be reinterpreted), structural memory might be 'customer resolution time < 24h' encoded as an operational invariant.

Institutional Metabolism

RATRAT Section 3.2

The rate at which an institution processes resources, makes decisions, and adapts to change. Regenerative design requires matching capital metabolism to institutional metabolism for optimal alignment.

Example

A fast-moving startup has high institutional metabolism (quarterly pivots), while a cathedral-building project has low metabolism (generational timescales). Capital structures must match these rhythms.

Institutional Morphismf: S → S'

FRSFRS Section 4.2

A structure-preserving mapping between institutional systems representing legitimate redesigns—transformations of rules, capital architectures, or temporal structures that preserve interpretability of system dynamics. Morphisms preserve architecture, not outcomes.

Formula
h(F(x, θ, ε)) = F'(h(x), θ', ε')
Example

Replacing a laboratory's grant-cycle funding with PSC structures is a morphism—it transforms the institution's architecture while preserving the fundamental nature of the research system.

Institutional Operating ArchitectureIOA

IOASection 1: The Problem, Section 4: Four Domains

The missing institutional layer between governance (which makes decisions) and risk management (which responds to events). IOA governs the operating conditions under which decisions translate into action and risk responses remain coherent—managing participation, learning, commitment durability, and escalation boundaries across time.

Example

A university has excellent governance (clear policies) and risk management (crisis protocols). Yet when a controversial speaker is invited, the institution fragments. IOA would have governed how disagreement is channelled, who has standing to object, and when issues escalate to leadership—the operating conditions between the decision and its consequences.

Institutional Trust Decay

LGIT-LDLD Section 6

The systematic decline in public trust across institutional categories. Unlike drift in a single institution, trust decay affects entire institutional types—government, media, corporations, NGOs.

Example

Trust in 'the media' or 'government' or 'corporations' declines regardless of individual institutional performance. The category itself loses legitimacy.

Institutionalised Automation Bias

COASection 6.1: Institutionalised Automation Bias

A failure mode where the cognitive tendency to over-trust machine outputs becomes institutional rather than personal. Outputs become defaults; deviation requires justification while conformity does not. Human judgment is exercised relative to the model, not independently. Oversight persists in form but not in substance.

Example

Individually, loan officers might question model recommendations. Institutionally, their performance metrics reward throughput, their managers ask about overrides, and their peers all follow the model. Automation bias is no longer individual psychology—it's organisational structure.

Intent Auditing

SGAISGAI Section 7.1

Assessing alignment at the level of intent structure rather than behavioural outputs. Instead of asking whether outputs are acceptable, intent auditing examines: which goals are active, how they are prioritised, what constraints apply, and whether actions are justified relative to governed meaning.

Example

Traditional audit: 'Did the model produce harmful outputs in 1000 test cases?' Intent audit: 'Is there an explicit safety goal? Are its constraints well-typed? Is provenance preserved across revisions? Who has authority to modify priority rankings?'

Intent Layer

Pre-GovPre-Gov Section 5.1

The architectural component of pre-governing that articulates what the system exists to sustain over time, independent of particular strategies, leaders, or contexts. Intent is not optimised but preserved—it functions as a semantic attractor that stabilises interpretation when actors face novel situations.

Example

A public library's intent layer might be: 'to sustain equitable access to knowledge for all community members, across technological and social change'—this persists even as formats, collections, and services evolve.

Intentional Expansion

SFSF Section 6.2

The capacity for mission purpose to evolve in response to learning, context change, or emergent opportunity through governed semantic operations—extension, refinement, or branching within the mission graph. Contrasts with accidental drift where purpose degrades without governance.

Example

A water access mission intentionally expands from 'clean drinking water' to include 'sanitation infrastructure' via a governed extension operation. The change is recorded in the mission graph with provenance, not silently reinterpreted.

Intergenerational Capital

ClimateClimate Section 3.2

Capital designed to serve multiple generations, where beneficiaries include people not yet born. Requires time horizons beyond traditional investment (50-100+ years) and governance structures that persist across generations.

Example

A climate infrastructure fund started in 2025 will still be disbursing capital in 2100, helping great-grandchildren of today's contributors. Traditional funds can't maintain this horizon.

Intergenerational Coherence

FRSFRS Section 3

The property of maintaining purpose alignment across generational transitions. Systems with intergenerational coherence transmit core values structurally, not narratively—each generation inherits constraints and capabilities, not just stories.

Example

Family businesses with intergenerational coherence embed values in governance structures (voting rights, capital access rules) not just family culture—the structure carries purpose when personalities change.

Intergenerational Cost Shifting

PPP-TATA Section 5

Transferring costs from current generations to future generations who have no voice in the decisions that create those costs. Infrastructure decisions routinely impose costs on those not yet born.

Example

A PPP that defers infrastructure renewal transfers costs to future generations. Those generations bear the costs but weren't consulted. The shifting is legally valid but ethically problematic.

Interpretability as Risk Property

INAINA Section 6.1

The reframing of institutional risk as a problem of semantic legibility. Many governance failures occur when actors make decisions that are locally defensible but globally misaligned—failures detectable only when meaning is explicitly represented and structurally linked.

Example

A risk assessment that includes 'semantic interpretability score' measuring what percentage of current activities can be traced to authorised purposes through explicit relationships.

Interpretive Drift

INAINA Section 2.3

A symptom of semantic decay where successive actors read the same container differently, with each interpretation locally defensible but cumulatively divergent from original intent. Without explicit meaning representation, there is no ground truth to detect drift.

Example

Each new director interprets 'community benefit' slightly differently based on their background—from neighbourhood programs to citywide initiatives to regional partnerships—each choice reasonable but collectively losing specificity.

Interpretive Flexibility

ILA-ALRALR Section 6

The ability to reframe negative findings in ways that protect current beliefs and practices. High interpretive flexibility means any evidence can be explained away, making falsification impossible.

Example

Program failure is attributed to 'implementation challenges' rather than design flaws, 'external factors' rather than internal errors, or 'insufficient resources' rather than wrong approach. Every result confirms the approach.

Interpretive vs Preservative Memory

IMGIMG Section 2

The distinction between cultural memory (which reproduces belonging, legitimacy, and shared identity through interpretation) and governance-capable memory (which ensures purpose survives intact when authority shifts, structures change, or generations turn over). Cultural memory excels at coordination but cannot reliably preserve semantic content.

Example

A university's rituals and traditions (interpretive memory) create belonging but don't prevent mission drift; explicit commitments to accessibility ratios (preservative memory) constrain action regardless of who leads.

Invariant Layer

Pre-GovPre-Gov Section 5.2

The architectural component that defines what must not change even as circumstances do—conditions that cannot be violated without undermining the system's legitimacy or integrity. Unlike rules, invariants are intentionally few and designed to survive scale and complexity.

Example

A healthcare system might establish invariants: 'no patient is denied emergency care based on ability to pay' and 'clinical decisions are never subordinated to financial optimisation'—these hold regardless of context.

Investment Horizon Optimization

RCMRCM Section 5.1

Finding the time horizon that maximizes total value (financial + societal). Short horizons maximize liquidity; long horizons maximize compounding and systemic impact. Optimal horizon varies by sector.

Example

Tech: 3-5 year optimal horizon (fast innovation). Infrastructure: 30-50 year optimal horizon (long payback). Traditional markets force tech horizons on infrastructure projects.

Investment Time Preference Mismatch

Family OfficesFamily Offices Section 6

The conflict between the time horizons appropriate for family wealth (multi-generational) and the time horizons embedded in available investment options (typically 3-10 years). Few investments match family office time preferences.

Example

A family office with a 100-year horizon invests in private equity funds with 10-year lives. The structural mismatch forces repeated reinvestment decisions that compound fees and create strategy discontinuity.

IOA Fitness Scan

IOASection 7.3: IOA Fitness Scan

A diagnostic framework of four questions that assess institutional operating architecture health. The questions examine: (1) whether disagreement is productive or paralysing, (2) whether institutional memory and knowledge transfer work, (3) whether commitment revision is legitimate or seen as betrayal, and (4) whether escalation identifies appropriate issues before they become crises.

Example

An IOA Fitness Scan reveals: disagreement is paralysing (participation failure), experienced staff knowledge doesn't transfer (learning failure), any change is seen as betrayal (commitment failure), but escalation works reasonably. The scan identifies three degraded domains requiring architectural intervention.

Irreversible Delegation

COASection 6.5: Irreversible Delegation

The most consequential COA failure mode: as systems become embedded, trained on institutional data, and relied upon for continuity, removal becomes increasingly costly. Humans lose the ability to operate without machine mediation. Delegation ceases to be a choice and becomes a dependency. Authority transfers not through governance but through inertia.

Example

The institution restructured staffing, performance metrics, and throughput expectations around model-mediated decisions. Removing the system would require organisational redesign, not merely technical rollback. Delegation became irreversible not by design but by accumulated dependence.

Justification Cycle

ILAILA Section 3.1

The first Learning Fragility Cycle: new information is filtered to confirm existing positions rather than challenge them. Evidence that supports current direction is amplified; evidence that challenges it is dismissed, reinterpreted, or ignored. The institution justifies rather than updates.

Example

A company facing market disruption interprets every data point as confirming their existing strategy: competitor success is 'temporary', customer complaints are 'edge cases', declining metrics are 'measurement error'.

Knowledge Decay Rate

Inst-ForgetIF Section 2

The speed at which institutional knowledge diminishes without active maintenance. Different knowledge types have different decay rates—tacit knowledge decays faster than documented knowledge.

Example

Within 5 years of a crisis, organisational memory of why crisis protocols were created often decays completely. The protocols persist but their rationale is forgotten.

Knowledge Transfer Failure

Inst-ForgetIF Section 7

The inability to transmit institutional knowledge from those who hold it to those who need it. Transfer failure can occur even when knowledge exists and recipients are motivated—the transfer mechanism itself can fail.

Example

Extensive documentation exists, but new staff don't know it exists, can't find it, or can't understand it without context the documentation assumes. The transfer mechanism fails despite knowledge presence.

Knowledge-Action Coupling

CEA-LTELTE Section 2

The structural mechanisms connecting what is learned to what is done. Tight coupling means learning automatically triggers appropriate action; loose coupling means learning and action are disconnected.

Example

A feedback system where customer complaints automatically trigger process reviews has tight coupling. Publishing complaints in a quarterly report no one reads has loose coupling.

Latent Authority

PPPGDS Section 5

Authority that accumulates in the option set when filtering is used instead of governing. Even when an option is repeatedly rejected, its continued presence signals that it remains thinkable, modelable, and potentially justifiable—over time, it becomes normalised.

Example

A business unit repeatedly proposes an ethically questionable product line. Each rejection is filtering, not governing. The option persists as thinkable until it is eventually approved during a crisis or leadership change.

Layer 1: Risk Absorption

UACCUACC Section 2.1

The first functional layer where concessional capital absorbs disproportionate risk to make investments viable. Includes first-loss positions, subordinated tranches, and guarantees that protect commercial investors from downside scenarios, enabling capital flows to underserved sectors.

Example

A blended finance facility provides $20M in first-loss capital that absorbs the first 20% of any losses, enabling $80M of commercial investment that otherwise wouldn't flow to affordable housing projects.

Layer 2: Temporal Smoothingτ_smooth

UACCUACC Section 2.2

The second functional layer providing patient capital that matches deployment timelines to mission requirements. Temporal smoothing eliminates the mismatch between short-term capital expectations and long-term social impact creation.

Formula
τ_smooth = T_capital / T_mission (ratio of capital horizon to mission cycle length)
Example

Infrastructure requiring 20-year payback funded with 20-year patient capital has τ_smooth = 1.0 (perfect smoothing). The same project with 5-year commercial loans has τ_smooth = 0.25 (severe temporal mismatch).

Layer 3: Crowd-In

UACCUACC Section 2.3

The third functional layer where catalytic capital leverages additional investment beyond its own deployment. Crowd-in occurs when concessional terms, de-risking, or demonstration effects attract commercial capital that would not otherwise participate.

Example

The Asian Development Bank's climate fund deploys $100M in concessional capital that attracts $400M in commercial co-investment, achieving a 4:1 crowd-in ratio through risk mitigation and technical assistance.

Layer 4: System Value Formation

UACCUACC Section 2.4

The fourth functional layer that generates and measures impact beyond financial returns. System Value Formation captures the social, environmental, and economic externalities created by catalytic capital deployment, making invisible value visible.

Example

A workforce development program generates measurable system value: $2.3M in increased lifetime earnings, $400K in reduced welfare costs, $150K in tax revenue—totaling $2.85M in system value from a $1M deployment.

Layer 5: Perpetual Cycles

UACCUACC Section 2.5

The fifth functional layer enabling infinite-horizon operation through capital recycling. When beneficiaries pay forward or loans are repaid, capital returns to the system for redeployment, creating perpetual impact from finite initial capital.

Example

Trawalla Foundation's scholarship fund operates as Layer 5: graduates contribute 5% of salary for 5 years after reaching income threshold, recycling capital to fund future scholars. A $10M fund has deployed $27M over 15 years through recycling.

Layer Activation Analysis

UACCUACC Section 6.1

The diagnostic process of identifying which of the five functional layers are active in a given capital structure and which remain dormant. Structures with more activated layers generally achieve higher catalytic leverage and sustainability.

Example

Analysis of a grant program: Layer 1 (Risk Absorption)—partially active via first-loss. Layer 2 (Temporal Smoothing)—inactive (annual cycles). Layer 3 (Crowd-In)—inactive. Layer 4 (System Value)—active. Layer 5 (Perpetual)—inactive. Only 1.5/5 layers active explains low leverage.

Leadership Heroics

IOASection 5: Five Failure Modes

A failure mode where IOA degradation forces senior leaders into constant crisis intervention, substituting personal heroics for institutional architecture. Leadership heroics temporarily solve immediate problems while depleting leaders and preventing architectural repair. Organisations become dependent on heroic leaders rather than functional systems.

Example

A CEO personally intervenes in every significant customer complaint, every employee conflict, every operational bottleneck. The organisation survives through her heroics, but when she leaves or burns out, it collapses. Leadership heroics masked IOA failure; they didn't fix it.

Learning Alignment Operator (Λ^L)Λ^L

ILAILA-Core Section 8

The operator that aligns learning updates with empirical and external reality cycles: Λ^L: L* → R, where R represents reality cycles (physical constraints, empirical outcomes, external system behaviour). Learning alignment ensures institutional updates synchronise with reality rather than political cycles, reputational incentives, or internal narratives. Can only be applied after decoupling (Δ^L).

Formula
Λ^L: L* → R
Example

Synchronising a delivery agency's learning cycle to actual cost, delay, and risk transfer performance (reality cycles) rather than electoral cycles or media scrutiny implements Λ^L.

Learning Architecture as Governance Primitive

ILAILA-Core Proposition 6

The claim that institutional learning capacity is determined primarily by architecture, not by culture, incentives, or leadership quality. Cultural norms, incentives, and leadership behaviours operate within constraints imposed by learning architecture. Where ILA is absent, even well-intentioned actors are structurally prevented from learning.

Example

This reframes learning from a managerial virtue ('we need a learning culture') to a governance primitive ('we need learning architecture'). The path to institutional intelligence lies in redesigning temporal conditions, not demanding better behaviour.

Learning as Regenerative Object

ILAILA-Core Section 12.1

The architectural claim that learning itself is a regenerative object—subject to decay, capture, and renewal like capital, authority, legitimacy, and memory. Learning is the only regenerative object that governs the update rules of all others. Therefore, learning cannot be left implicit, delegated entirely to culture, or reduced to analytics.

Example

Just as capital must be structurally protected from extraction, learning must be structurally protected from suppression. Institutions that treat learning as 'culture' rather than architecture will experience learning decay.

Learning Asymmetry

COASection 2: Delegated Cognition

The structural imbalance where AI systems learn continuously while institutions learn episodically. Models retain memory across staff turnover, reorganisations, and leadership changes. Humans do not. Over time, machine cognition becomes the most stable and continuous decision actor in the organisation—without ever being formally recognised as such.

Example

Every senior analyst who understood why certain cases were exceptions has left. The model, trained on their decisions, is now the only repository of that tacit knowledge. The institution depends on machine memory it can no longer audit or understand.

Learning Asymmetry Management

COASection 5.3: Learning Asymmetry Management

The third core function of COA: governing the asymmetric learning relationship between humans and machines. Specifies when and how model updates may occur, how trust is recalibrated following system change, how institutional understanding is preserved, and how model memory is prevented from silently outlasting institutional memory.

Example

Learning asymmetry management might require: documentation of model decision patterns accessible to humans, mandatory knowledge transfer when key personnel leave, periodic 'institutional memory audits' comparing human and machine understanding, and version control on institutional interpretations.

Learning Authority

ILAILA Section 4.1

A governance body with explicit authority to mandate institutional change based on learning. Unlike advisory bodies that recommend, Learning Authority can require implementation. It reports to the highest level of governance and has protected access to decision-making.

Example

A university's Learning Authority can mandate curriculum changes when learning outcomes data shows persistent gaps—not just recommend that departments 'consider' updating.

Learning Avoidance

ILA-ALRALR Section 10

Active strategies to prevent information from reaching decision-makers or being usable for decisions. Learning avoidance is more than passive failure—it involves deliberate action to maintain ignorance.

Example

Scheduling inconvenient evaluation presentations for times when key staff are unavailable, burying findings in appendices, or commissioning new studies to delay action on existing findings.

Learning Capital

ILA-LLRLLR Section 4

The accumulated capacity for an institution to learn effectively—including processes, cultures, relationships, and resources that enable learning. Learning capital can grow or deplete over time.

Example

An institution with high learning capital has evaluation systems, psychological safety for admitting errors, feedback loops, and leadership that values truth. These assets compound over time.

Learning Channels

IOASection 4.2: Learning and Institutional Memory

The second domain of IOA: how institutions capture experience, transmit knowledge, and adapt to new information across time and personnel changes. Learning channels include formal systems (documentation, training) and informal systems (mentoring, storytelling, tacit knowledge transfer). When learning channels decay, institutions repeat mistakes and lose accumulated wisdom.

Example

A regulatory agency's senior staff retire, taking decades of enforcement experience. Without functional learning channels—case documentation, mentoring programmes, institutional history—the agency loses the ability to recognise patterns that experienced regulators spotted instantly.

Learning Cycle (Formal)L = (T_L, Ω, U, Π)

ILAILA-Core Section 4

The formal tuple defining a learning cycle: T_L (learning period—how often updating is permitted), Ω (observation space—which signals are visible), U (update space—which beliefs, rules, or structures may change), and Π (protection structure—who is insulated during destabilisation). Institutions operate across multiple overlapping learning cycles, often inherited piecemeal and misaligned with operational reality.

Formula
L = (T_L, Ω, U, Π)
Example

A regulatory agency's learning cycle might have T_L = annual review, Ω = compliance metrics only, U = procedural adjustments only, Π = none (all staff exposed). This narrow architecture predicts anti-learning.

Learning Cycle Decoupling

ILAILA Section 4.4

Temporal separation between operational cycles and learning cycles. Learning doesn't compete with operations for attention—it has its own protected time, resources, and governance. When operations get busy, learning space cannot be cannibalized.

Example

A hospital allocates 10% of clinical staff time to learning activities that cannot be reassigned during busy periods. The learning cycle operates on its own calendar, decoupled from operational surges.

Learning Decay

IOASection 4.2: Learning and Institutional Memory

The gradual loss of institutional capacity to learn from experience, often invisible until crisis reveals it. Learning decay occurs through personnel turnover without knowledge transfer, documentation that isn't maintained, training programmes that become ritualistic, and incentive structures that punish learning from failure.

Example

A financial institution conducts post-mortems after every significant loss but treats them as compliance exercises. No one reads previous post-mortems; recommendations aren't tracked; the same failures recur. Learning decay is complete—the forms exist but learning doesn't happen.

Learning Decoupling Operator (Δ^L)Δ^L

ILAILA-Core Section 7

The operator that structurally separates the act of updating from immediate institutional penalty: Δ^L: L → L* such that δU*/δF = 0, where F ∈ {legitimacy, authority, capital, narrative fragility}. Decoupled learning allows institutions to revise beliefs, rules, and models without triggering legitimacy loss, power displacement, or funding withdrawal. Must precede alignment.

Formula
Δ^L: L → L* such that δU*/δF = 0
Example

Creating a protected policy learning unit with authority to revise standards, insulated from immediate blame attribution, implements Δ^L. The unit can update models without each update threatening someone's position.

Learning Fidelity

ILA-CoreILA-Core Section 4

The accuracy with which evidence is represented as it moves through institutional processes. Low fidelity means information is distorted, simplified, or lost as it travels from source to decision-maker.

Example

A nuanced evaluation finding becomes 'basically positive' after passing through three summary levels. The fidelity loss means decision-makers act on a misleading simplification.

Learning Fragility Cycles

ILAILA Section 3

Five structural patterns that prevent institutions from updating themselves: (1) Justification Cycle—filtering new information to confirm existing positions; (2) Containment Cycle—learning stays local and doesn't propagate; (3) Episodic Reform Cycle—learning happens in bursts after crises then stops; (4) Metric Substitution Cycle—measures of learning replace actual learning; (5) Dissent Suppression Cycle—challenging voices are marginalized.

Example

A bank experiences all five cycles: post-crisis reviews are filed and forgotten (Episodic Reform), training hours are counted instead of capability change (Metric Substitution), risk warnings from branches never reach the board (Containment).

Learning Incentive Alignment

ILA-CoreILA-Core Section 7

The degree to which individual and unit incentives support or undermine institutional learning. Misaligned incentives mean that even staff who want to learn face pressure to suppress evidence.

Example

Program managers evaluated on 'success rates' have incentives to hide failures. Learning requires revealing failures. Incentives are misaligned—individual success requires institutional ignorance.

Learning Pathway

ILA-CoreILA-Core Section 2

The structural route by which information travels from generation to decision point. Clear learning pathways enable evidence to reach decisions; blocked or distorted pathways prevent learning regardless of evidence quality.

Example

A well-designed learning pathway: field observation → documented report → reviewed analysis → decision-maker briefing → decision with feedback. Each step is defined and protected.

Learning Period (T_L)T_L

ILAILA-Core Section 4

The temporal component of a learning cycle: how often updating is permitted. When learning periods are too slow, too narrow, or insufficiently protected, adaptation becomes unsafe and therefore suppressed. Many institutions have crisis-driven learning periods—substantive review occurs only after public failure.

Example

A policy agency with T_L = 'crisis-driven' only conducts substantive review after visible failure. A regenerative institution might have T_L = quarterly with protected review periods.

Learning Threat Threshold

ILAILA-EBD Section 3

The point at which evidence transitions from 'useful input' to 'dangerous learning'. Below threshold, evidence is welcomed (it validates and improves). Above threshold, evidence threatens legitimacy and triggers defensive responses. The threshold varies by authority investment level.

Example

Evidence that a minor process could be improved falls below threshold (welcomed). Evidence that core strategy is flawed exceeds threshold (resisted). The same institution responds oppositely based on threat level.

Learning-Commitment Decoupling

CEACEA-LTE Section 4.1

A partial architecture where institutions learn but do not act. Learning systems generate insight that never enters binding commitment. Produces high-quality reports with no execution pathway, recurring 'lessons learned' without structural change, and increasing analytical sophistication paired with declining impact.

Example

National net-zero targets exhibit learning-commitment decoupling: extensive sensing and interpretation exist (emissions data, climate models, policy analysis), but commitments lack non-bypassable enforcement. Learning persists, action does not.

Learning-Execution Gap

CEA-LTELTE Section 1

The distance between what an organisation knows and what it does. Even organisations that learn effectively may fail to translate learning into action, creating a gap between knowledge and practice.

Example

An organisation's research arm produces excellent evidence about effective practices. Its operational arm continues ineffective practices because nothing connects learning to execution.

Learning-Legitimacy Nexus

ILA-LLRLLR Section 1

The relationship between an institution's capacity to learn and its social legitimacy. Genuine learning can undermine legitimacy by revealing past errors, while maintaining legitimacy often requires suppressing learning.

Example

An institution that admits 'we were wrong' loses legitimacy in the short term but can learn and adapt. One that maintains 'we've always been right' preserves legitimacy but cannot learn.

Legacy Grievance

LGITLGIT Section 6.4

LGIT category for historical harm that should be permanently recognized but no longer requires governance authority. Recognition is archival and non-revocable; governance power is conditional and time-bound.

Example

Historical injustices that are formally acknowledged and memorialized, but where current corrective mechanisms have achieved their purpose and no longer require binding institutional authority.

Legitimacy Buffer Archetype

CEACEA-PG Section 4.6

Sixth performative governance archetype using commitments primarily to absorb external pressure. Commitments produced in response to public scrutiny or crisis, without corresponding internal reconfiguration, as reassurance signals rather than operational mandates. Once scrutiny subsides, execution urgency dissipates.

Example

Following a public scandal, an organisation announces comprehensive reform program, establishes oversight committee, publishes progress reports. Two years later, same structural vulnerabilities remain; reform existed to absorb legitimacy pressure, not to change operations.

Legitimacy Capital

LGIT-LDLD Section 2

The accumulated trust, credibility, and right to operate that institutions possess. Legitimacy capital can be spent (by acting against stakeholder interests) or accumulated (through consistent good performance).

Example

A university has high legitimacy capital from centuries of credible research. It can survive some scandals. A new institution with no capital cannot survive similar events.

Legitimacy Contagion

LGIT-LDLD Section 7

The spread of legitimacy crisis from one institution to others perceived as similar. When one institution fails, the failure can delegitimise an entire category or sector.

Example

A scandal at one charity reduces trust in all charities. The failing institution's contagion spreads to others that share its category, regardless of their individual behaviour.

Legitimacy Cycles

LGITLGIT Section 6

The framework treating legitimacy as a cyclically governed institutional variable that must be reproduced through continued alignment with current conditions, rather than a static attribute that institutions possess.

Formula
L(t+1) = L(t) + R(t) - D(t)
Example

Elections renew political legitimacy, audits renew financial legitimacy, peer review renews scientific legitimacy. Grievance-based legitimacy uniquely lacks defined renewal mechanisms.

Legitimacy Decayδ

LGITLGIT Section 3.2

The natural erosion of justificatory force when authority is not periodically realigned with current conditions. All legitimacy decays over time absent renewal—this is architectural reality, not moral judgment.

Example

A corrective policy justified by historical data loses legitimacy (δ increases) as that data becomes outdated—unless renewed through demonstration of continued relevance.

Legitimacy Decay Rateλ(L)

LGITLGIT-MFC Section 3.2

The slope of trust decline relative to the persistence or amplification of grievance-derived authority. A high decay rate signals that grievance has ceased to function as a legitimacy generator and has become a legitimacy liability.

Formula
λ(L) = d(Trust)/dt ÷ d(Authority)/dt; high λ(L) when trust ↓ while authority ↑
Example

Public trust in an equity program declines 20% while the program's enforcement powers expand—indicating high legitimacy decay rate and transition toward fragility.

Legitimacy Drift

LGITLGIT-LD Section 1

The structural failure of corrective institutions to re-align grievance-based authority with evolving empirical conditions. Over time, institutions established to remedy historical injustice lose alignment with current realities while retaining (or expanding) their authority.

Example

A reparative policy established for conditions in 1970 continues unchanged in 2020, though the empirical landscape has shifted substantially—the authority persists while its justification erodes.

Legitimacy Drift (Cumulative Erosion)

LGIT-LDLD Section 1

The gradual, often unnoticed erosion of institutional legitimacy over time. Unlike legitimacy crisis, drift operates slowly enough that no single event triggers response, but cumulative effect is severe. Distinct from Legitimacy Drift in corrective institutions, which focuses on loss of alignment with empirical conditions.

Example

Trust in an institution declines 2% annually. No single year triggers alarm. After 20 years, trust has halved. The drift was invisible year-to-year but devastating cumulatively.

Legitimacy Fragility

ILA-LLRLLR Section 6

The vulnerability of institutional legitimacy to disconfirming information. High legitimacy fragility means the institution cannot acknowledge errors without threatening its right to exist.

Example

A charity built on the narrative of transformative impact has high legitimacy fragility—admitting impact is modest would undermine the entire case for its existence.

Legitimacy Fragility (Learning)

ILAILA-Core Section 6

One of four dominant learning fragility cycles: learning threatens institutional credibility, authority, or moral standing. When learning cycles are coupled to legitimacy fragility, admitting error threatens public trust and institutional authority. Institutions respond by suppressing update even when evidence is overwhelming.

Example

Public policy agencies exhibit legitimacy fragility—admitting error threatens ministerial credibility. Symptoms include repeated inquiries with unchanged policy settings, ritualised reviews without structural change.

Legitimacy Inflation

LGITLGIT Section 6.5

The pattern where institutions rely increasingly on moral claims to compensate for declining empirical alignment—escalating rhetoric while performance tolerance shrinks and deliberative space contracts.

Example

When outcome data deteriorates but narrative justification intensifies, the institution has entered legitimacy inflation—the precursor to legitimacy collapse.

Legitimacy Investment

ILA-LLRLLR Section 5

Resources devoted to maintaining perceived right to operate rather than improving actual operations. High legitimacy investment can crowd out learning investment when resources are scarce.

Example

An NGO devotes 40% of communication resources to demonstrating accountability to donors and only 10% to learning from programs. Legitimacy investment dominates learning investment.

Legitimacy Laundering

IOASection 5: Five Failure Modes

A failure mode where institutions use procedural compliance to generate legitimacy without substantive engagement. Consultations occur but don't influence decisions; participation is offered but not meaningful; processes are followed but outcomes are predetermined. Legitimacy laundering erodes trust by exposing the gap between procedural form and substantive reality.

Example

A development agency conducts community consultations as required. But communities recognise the consultations change nothing—decisions are already made. The agency has laundered legitimacy through procedural compliance while destroying actual legitimacy through substantive exclusion.

Legitimacy Recovery

LGIT-LDLD Section 5

The process of rebuilding depleted legitimacy capital. Recovery is typically slower than spending and may require leadership change, structural reform, and sustained behavioural change.

Example

An institution that spent a decade depleting legitimacy may require two decades to recover. The asymmetry—easy to spend, hard to recover—creates legitimacy fragility.

Legitimacy Renewalρ

LGITLGIT Section 3.2

The process by which legitimacy is reproduced through revalidation, performance demonstration, or alignment with current conditions. In well-governed systems, renewal (ρ) approximately equals decay (δ).

Example

Annual audits, periodic elections, peer review cycles—these are renewal mechanisms. Grievance authority typically lacks equivalent renewal pathways.

Legitimacy Rupture

LGITLGIT Section 6.6

A discontinuous collapse in the perceived alignment between institutional claims and observable outcomes. Unlike legitimacy erosion (gradual decay), rupture occurs when the gap between rhetoric and reality becomes undeniable through catastrophic failure or revelation. Rupture differs from transition in that transitions allow institutional adaptation while ruptures render previous frameworks non-viable.

Example

The 2008 financial crisis represented legitimacy rupture for 'efficient markets' ideology—the gap between claimed stability and observed fragility became undeniable, forcing architectural rather than merely policy change.

Legitimacy Spending

LGIT-LDLD Section 3

Actions that reduce legitimacy capital—typically by prioritising institutional interests over stakeholder interests or betraying stated values. Spending is often invisible until capital is depleted.

Example

Each small compromise—hiding bad news, favouring donors, avoiding accountability—spends legitimacy capital. No single expenditure seems significant. Cumulative spending can exhaust reserves.

Legitimacy Substitution

CEACEA-App Section 6.2

The structural substitution where commitments generate legitimacy benefits independent of execution. Public declaration, stakeholder signalling, and reputational alignment provide immediate returns while costs of non-delivery are deferred, diffuse, or avoidable.

Example

Net-zero announcements immediately improve ESG scores, stakeholder relations, and public perception—benefits accrue whether or not emissions actually decline. Legitimacy substitutes for execution.

Legitimacy-Based Learning Constraint

ILA-LLRLLR Section 2

The limitation on what an institution can learn without threatening its right to exist or operate. Some learning is prohibited because it would undermine the institution's legitimating claims.

Example

A medical association cannot learn that its certification processes don't predict physician quality—this learning would undermine its legitimacy as a certifier.

Legitimacy-Fragile Archetype

ILAILA-ALR Section 4.1

One of five Anti-Learning Regime archetypes. An institution where learning threatens legitimacy claims. Admitting the need to update implies previous error, which undermines the institution's authority. Common in religious, ideological, or prestige-dependent organisations.

Example

A think tank that built its reputation on a specific policy recommendation cannot learn that the recommendation was wrong without destroying its brand. It becomes structurally incapable of update.

Legitimacy–Learning ParadoxL-LP

ILAILA-EBD Section 1

The structural observation that high-legitimacy institutions exhibit the strongest resistance to learning. The investments that create institutional authority—foundational narratives, precedent chains, identity commitments—are precisely what make evidence 'dangerous' when it threatens those investments.

Example

A prestigious university with centuries of tradition is structurally less capable of updating its curriculum than a new institution—not because of personnel, but because more is at stake when evidence challenges foundational assumptions.

Lifecycle Mapping

ACAA Section 3.1

The process of identifying beneficiary need phases (when capital is required) and capacity phases (when pay-forward is feasible). Critical for designing aligned capital structures.

Example

Education: Need (ages 18-22), Transition (22-26), Capacity (26+). Housing: Need (purchase year), Transition (years 1-5), Capacity (years 5+).

Local Neighbourhood

INDSection 4.4: Local Neighbourhood

A bounded graph of related ideas visible from any given idea—showing immediate connections without overwhelming users with the full idea network. Local neighbourhood design makes graph navigation manageable.

Example

From 'the sublime', the local neighbourhood might show 5-10 related ideas: 'terror', 'infinity', 'nature worship', 'the beautiful', 'Romantic aesthetics'. Users see enough to navigate without drowning in a global map.

Long-Horizon Capital

PPPLHC Section 7

A missing category in public finance vocabulary: capital that is designed to persist across political, fiscal, and organisational cycles while remaining aligned with mission requirements. Long-horizon capital would combine the continuity of endowments with the deployment flexibility of operating budgets.

Example

Perpetual Social Capital demonstrates that long-horizon capital can exist—gift capital that cycles across decades without termination, debt service, or political renewal. The concept shows what the missing vocabulary would name.

Long-Horizon Commitment

PPP-LHCLHC Section 1

The ability to make and maintain commitments across timescales measured in decades. Long-horizon commitment requires mechanisms that survive leadership turnover, political change, and institutional amnesia.

Example

A 50-year infrastructure commitment must survive 12+ elections, numerous government reorganisations, and complete staff turnover. Long-horizon commitment requires structural protection, not just intention.

Long-Horizon Institution

Family OfficesFamily Offices Section 1

An organisation designed to operate across multiple generations, maintaining purpose continuity over decades or centuries. Family offices are among the few private institutions with genuine long-horizon potential.

Example

A family office managing wealth for great-grandchildren who are not yet born must make decisions on 50-100 year horizons—longer than any public company or most foundations.

Machine-Mediated Judgment

COASection 2: Delegated Cognition

Human judgment that is shaped, constrained, or framed by AI system outputs before it is exercised. Machine-mediated judgment is distinct from both pure human judgment and automated decisions—it involves human agency but within parameters established by machine cognition.

Example

A doctor makes the final diagnosis, but the AI system determined which symptoms were highlighted, which tests were suggested, and which historical cases were surfaced. The judgment is human; the framing is machine. This is machine-mediated judgment.

Mandate Fixation

LGITLGIT-LD Section 3.2

The institutional tendency to resist mandate revision even when empirical conditions have changed substantially. Fixation emerges from structural features—career incentives, identity investment, reputational costs of revision—rather than individual obstinacy.

Example

Proposing a sunset review of an equity program triggers institutional resistance not because current staff disagree with evidence, but because revision threatens legitimacy narratives they've built careers around.

Manifestation

INDSection 4.3: Provenance-First Linking

A container (book, article, film, record) that embodies a particular idea. Ideas have multiple manifestations across a collection; manifestations link back to the ideas they express via provenance relationships.

Example

'The American Dream' has manifestations in: The Great Gatsby (novel), Death of a Salesman (play), The Grapes of Wrath (novel), contemporary economic studies (articles). Users explore the idea; manifestations provide the evidence.

Market Exchange ConstitutionMEC

PPP-MECMEC Section 1

The fundamental conditions that must exist before market exchange can function regeneratively—stable property rights, reliable enforcement, aligned incentives, and appropriate time horizons. Without proper constitution, markets extract rather than create value.

Example

A PPP operating without market exchange constitution faces perverse incentives—private partners capture value while public partners bear risk. The exchange is formally 'market' but constitutionally defective.

Market Exchange Constitution (MEC)

PPPMEC Section 5

A semantic and institutional layer defining non-discretionary limits on what exchange is permitted to optimise across time. The MEC specifies binding obligations for capability replenishment and establishes constitutional constraints that markets currently lack—not rules within exchange, but constraints on what exchange may do.

Example

A regenerative market would not permit optimisation that depletes the ecological substrate on which productivity depends, regardless of price signals—the MEC would treat substrate preservation as a binding non-negotiable.

Market Structure Instability

NFTsNFTs Section 11

The tendency of NFT markets to undergo rapid, destabilising changes as participants exploit governance gaps. Without institutional anchors, market structures emerge and collapse based on short-term competitive dynamics.

Example

NFT market norms shifted from universal royalty respect to widespread royalty bypass within months—a structural change that would take years in institutionally governed markets.

Market Without a Market

Art MarketArt Market Section 1

A trading environment that lacks the defining features of a functioning market: price transparency, standardised goods, clear property rights, and reliable enforcement. Transactions occur, but the efficiency and fairness properties of markets are absent.

Example

Art sales occur at prices known only to the parties, for unique objects with contested authenticity, under terms that vary by relationship and cannot be enforced predictably. It resembles a market but lacks market properties.

Meaning Under Motion

INAINA Section 1

The core problem that idea-native architecture addresses: how institutions can preserve purpose, intent, and obligation as assets, authority, and responsibility move across organisational, legal, and temporal boundaries. Motion includes transfer, scale, and succession.

Example

A philanthropic endowment created in 1920 'moves' through: investment restructurings, legal entity changes, board turnovers, and strategic pivots—at each motion point, meaning is at risk of decay.

Measurement Shield Archetype

CEACEA-PG Section 4.4

Fourth performative governance archetype substituting reporting for enforcement. Heavy investment in dashboards, indicators, and transparency mechanisms, but measured failure does not trigger automatic corrective action. Measurement absorbs accountability pressure without altering decisions.

Example

Comprehensive ESG reporting with 200+ indicators, quarterly board presentations, and stakeholder reports—but no indicator failure triggers resource reallocation or leadership consequence.

Memory Infrastructure

LGIT-GWDGWD Section 4

The technologies, institutions, and practices that store and transmit collective memory. Modern memory infrastructure (digital archives, social media, memorials) enables grievance without decay.

Example

Before writing, grievances faded as witnesses died. Digital infrastructure means every grievance is permanently accessible, perfectly preserved, and instantly retrievable.

Memory Maintenance Cost

Inst-ForgetIF Section 3

The resources required to prevent institutional forgetting. Without ongoing investment in documentation, training, and knowledge transfer, organisations inevitably forget—maintenance is not optional.

Example

Maintaining knowledge of complex infrastructure systems requires ongoing training investment. When budgets are cut, the knowledge erodes. The maintenance cost is real, but forgetting's cost is often invisible until crisis.

Memory vs Record

IMGIMG Section 3

The crucial distinction between institutional record-keeping (describing what happened through charters, policies, minutes, and reports) and institutional memory (preserving why it mattered through governed intent). A record can survive intact while meaning silently decays.

Example

Archives contain the 1950 board minutes authorising a scholarship fund (record), but not the specific concerns about class mobility that motivated it (memory)—enabling later boards to redirect funds without realising the departure.

Messenger Elimination

ILA-EBDEBD Section 4

The practice of removing people who deliver threatening information rather than addressing the information itself. Messenger elimination signals to others that certain truths are unspeakable.

Example

The analyst who documented program failure is reassigned, discredited, or terminated. The evidence remains, but no one else will surface similar findings.

Metric Displacement

ILA-ALRALR Section 8

The process by which organisations optimise for measurable proxies rather than actual objectives. When metrics are set, behaviour shifts to maximise metrics regardless of whether this serves the original purpose.

Example

A school measured by test scores optimises for test performance, not learning. Teaching to the test improves metrics while potentially harming actual education. The metric has displaced the mission.

Metric Substitution Cycle

ILAILA Section 3.4

The fourth Learning Fragility Cycle: measures of learning replace actual learning. Training hours are counted instead of capability change. Reports written substitute for problems solved. KPIs improve while underlying conditions persist.

Example

A company tracks 'hours of diversity training completed' rather than 'representation in senior roles'. Training metrics improve annually while the underlying problem remains unchanged.

Middle Powers

LGITLGIT Section 6

States that operate with bounded and selective commitments, limited enforcement capacity, high sensitivity to reputational risk, and dependence on institutional frameworks they cannot unilaterally shape. Middle powers are structurally positioned to lead institutional redesign because they already live in post-fictional conditions.

Example

Canada, Australia, South Korea, and EU member states are middle powers—unable to enforce global rules unilaterally, yet dependent on frameworks that function. This position makes them both vulnerable to legitimacy rupture and potential architects of new arrangements.

Misalignment Decay

ILAILA-LLR Section 3.2

The gradual loss of alignment between institutional authority and original purpose over time. Misalignment decay is the natural consequence of suppressed learning—models drift, purposes shift, and authority accumulates disconnected from mission.

Example

Regulatory agencies experiencing 'mission creep' or 'regulatory capture' are exhibiting misalignment decay—their authority remains but alignment with founding purpose has eroded.

Misalignment OperatorE = I - A

OAIAOAIA Section 3.2

The operator that isolates the fragility-driven component of institutional behaviour. E(K) captures everything in capital behaviour that deviates from mission alignment—deferred maintenance, renewal delays, underfunded replacements, phase drift.

Formula
E(K) = K - A(K)
Example

A hospital with E(K) near zero has capital perfectly matched to equipment cycles. Large E(K) indicates budget cycles overriding clinical renewal—capital arriving annually when equipment needs 5-year replacement windows.

Mission Cycles

RCARCA Section 2.3

The natural timescales required for missions to succeed. Four types: Asset lifetimes (equipment, infrastructure), Capability renewal (training, workforce), Climate adaptation (50-100 years), and Intergenerational (education outcomes, generational wealth).

Example

Scientific research has a 15-25 year mission cycle (from hypothesis to breakthrough). When funded by 3-year grant cycles, the mismatch causes 40% of scientist time spent on proposals instead of research.

Mission Cycles (RC-WD)

RC-WDRC-WD Section 5

The natural timescales required for different development missions to succeed. Four primary domains: Health (3-7 years for intervention cycles), Science (2-5 years for research cycles), Climate (3-15 years for adaptation), Infrastructure (5-30 years for construction and maintenance).

Example

Scientific research has a 15-25 year mission cycle from hypothesis to breakthrough. When funded by 3-year grant cycles, the 5-8× temporal misalignment causes 40% of scientist time spent on proposals instead of research.

Mission Drift

AcademicSee: Alignment Capital, Purpose Drift, Authority-Mission Misalignment

The gradual shift in organisational purpose away from founding intent, often in response to funding pressures or market forces. IRSA's research identifies this as a symptom of deeper architectural failure: when capital is coupled to external cycles, organisations must adapt to those cycles rather than their mission. The solution is capital decoupling—structuring funding so it operates on mission timescales.

Example

A charity shifts from advocacy to service delivery because service contracts are easier to fund. Traditional view: leadership failure. IRSA view: capital architecture created pressure; decoupled capital (like PSC) would enable mission-aligned operations.

Mission Invisibility

PPP-ABSABS Section 4

The condition where accounting systems cannot represent whether activities serve their intended purposes. Accounting tracks financial flows but not mission achievement—success and failure look financially identical.

Example

Two programs spend identical amounts. One transforms lives; one accomplishes nothing. Accounting reports them identically. Mission achievement is invisible to the accounting framework.

Mission Object

SFSF Section 4.2

An explicit representation of mission intent as a discrete object with defined properties: intent definition (what capital exists to do), scope and boundaries (domain of applicability), permissible transformations (how intent may evolve), and invariants (conditions that must remain true across all deployments).

Example

A climate adaptation mission object specifies: intent = 'fund coastal resilience infrastructure'; scope = 'Pacific island nations'; invariants = 'no fossil fuel co-benefits, minimum 50-year horizon'; permissible evolution = 'expand to new regions via governance vote.'

Mission Outputq ∈ Q

GERCGERC Section 2.1

The measurable outcome produced by mission-aligned activity. In GERC, mission output is the ultimate purpose of regenerative capital—the educated graduates, housed families, restored ecosystems, or healed patients that regenerative institutions exist to produce.

Example

For an education PSC, mission output includes graduates placed in careers, measured not just by count but by quality metrics like income growth, career satisfaction, and subsequent giving.

Mission Preservation

Family OfficesFamily Offices Section 8

The challenge of maintaining institutional purpose across leadership changes, generational transitions, and environmental shifts. Mission preservation requires active governance effort—purposes do not persist automatically.

Example

A family office must actively teach each generation why the family's approach to wealth exists, what values guide it, and why alternative approaches were rejected. Without active transmission, the mission erodes.

Mission Truncation

AMIAMI Section 6

The shortening of effective mission horizons to match authority cycles, regardless of what the mission actually requires. When authority can only commit for its tenure, missions are truncated to fit.

Example

A research institution with a 25-year scientific mission receives political appointments with 3-year terms. The effective mission becomes 3 years—the longest commitment authority can make.

Mission-Capital Alignment

SFSF Section 2

The synchronization of investment mission with capital structure. When mission exists as a governed object, it can enforce constraints on capital allocation, reject investments that violate purpose, and persist across management changes.

Example

A climate fund with mission-capital alignment can reject a profitable fossil fuel investment automatically—the mission object has priority and the investment fails the constraint check.

Mission-Cycle Completion RateMCR

R*R* Section 4.3

The percentage of mission cycles that reach successful completion. High MCR means most initiatives achieve intended outcomes; low MCR means many programs are abandoned or fail mid-cycle.

Formula
MCR = Completed Cycles / Initiated Cycles
Example

An institution completing 85% of its programs has MCR = 0.85. One with high program cancellation rates has MCR ≈ 0.4.

Mission-Cycle FunctionsM

OAIAOAIA Section 2.1

The space of cycle functions representing the ideal temporal cadence intrinsic to institutional purpose. Mission cycles specify the period, phase, and amplitude required for capability regeneration—determined by physics, biology, or social necessity rather than finance.

Example

For hospitals, M includes 5-7 year equipment renewal cycles. For climate adaptation, M includes 10-15 year infrastructure replacement windows. For science, M includes 2-5 year discovery throughput cycles.

Model Memory vs Institutional Memory

COASection 5.3: Learning Asymmetry Management

The distinction between knowledge encoded in machine systems (model memory) and knowledge held by human institutions (institutional memory). As model memory accumulates through training while institutional memory decays through turnover, the institution becomes dependent on knowledge it cannot access, audit, or modify.

Example

The model 'knows' why certain customer patterns indicate fraud because it was trained on ten years of analyst decisions. The analysts who made those decisions are gone. The model has memory; the institution has lost it.

Model Revision

ILAILA-LLR Section 5.2

The second stage of institutional learning where ingested signals actually update internal models. Institutions can ingest signals without revising models—filing reports without changing beliefs. Model revision requires authority to challenge existing assumptions.

Example

Intelligence agencies may ingest vast amounts of signal but fail at model revision when analysts lack authority to challenge prevailing frameworks. 9/11 represented signal ingestion without model revision.

Model Rigidity IndexMRI

ILAILA-ALR Section 3.3

A diagnostic metric measuring how resistant an institution's core models are to revision. High MRI indicates that foundational assumptions remain unchanged despite contradictory evidence. Calculated by tracking model age, number of contradicting data points received, and number of model revisions.

Example

A central bank's inflation model hasn't been revised in 15 years despite 200 months of prediction errors. MRI is extremely high—the model has become immune to evidence.

Moral Arbitration Under Pressure

IOASection 5: Five Failure Modes

A failure mode where IOA degradation forces governing bodies into moral referee roles they are not designed for. Boards become arbiters of contested values rather than stewards of institutional direction. This happens when participation architecture cannot channel disagreement, escalation boundaries fail, and every conflict reaches governance level as a moral emergency.

Example

A university board spends every meeting arbitrating between campus factions on political issues. This isn't governance—it's moral arbitration forced by IOA failure. The board has no architecture for channelling disagreement, so every disagreement becomes a governance crisis requiring board moral judgement.

Moral Authority Fragility

LGIT-MFCMFC Section 6

The vulnerability of moral authority to rapid collapse when its claims are perceived as hypocritical, excessive, or self-serving. Unlike gradual erosion, fragile authority can shatter suddenly.

Example

An institution's moral authority, built over decades, collapses overnight when a scandal reveals behaviour inconsistent with its moral claims. Fragility means there's no graceful degradation.

Moral Capture

LGIT-PEPGPEPG Section 7

The process by which institutions, seeking to demonstrate moral standing, become captured by grievance advocates and unable to exercise independent judgment about grievance claims.

Example

A university, seeking to appear morally serious, defers to grievance advocates on all related decisions. The institution cannot evaluate claims independently—moral capture is complete.

Moral Certainty Trap

LGIT-MFCMFC Section 4

The condition where conviction about moral truth prevents updating beliefs when evidence or circumstances change. High certainty makes positions resistant to legitimate refinement, leading to brittleness.

Example

Advocates are so certain they're right that they cannot acknowledge nuance, exceptions, or counterarguments. When reality contradicts their position, they cannot adapt—only collapse.

Moral Fragility CycleMFC

LGIT-MFCMFC Section 1

A recurring pattern where moral positions, once established, become increasingly brittle and vulnerable to collapse. The cycle operates through excessive certainty, defensive overreach, and eventual delegitimisation.

Example

A moral position starts reasonable, becomes dogmatic in defense, overextends to absurd cases, faces backlash, and collapses—often replaced by its opposite. The cycle then repeats.

Moral Fragility CyclesMFC

LGITLGIT-MFC Section 4

Recurring structural patterns where grievance-based governance systems transition from corrective function to destabilising dynamics. Arise when grievance accumulates authority without decay, revalidation, or empirical alignment—producing legitimacy inflation, asymmetry, and institutional fragility.

Example

A post-conflict institution created for transitional justice becomes locked in moral fragility when its mandate persists indefinitely without outcome review, producing declining trust while authority expands.

Moral Hazard

AcademicSee: Architectures of Ease, Commitment Architecture

When one party takes risks because another party bears the costs—a core problem in insurance, finance, and institutional design. IRSA's Architectures of Ease addresses moral hazard not through monitoring or punishment but by redesigning systems so that risk-taking and risk-bearing are architecturally aligned.

Example

Banks take excessive risks knowing governments will bail them out. Traditional solution: regulation. Architectures of Ease solution: structure institutions so the easiest path for banks is also the safest path for the system.

Moral Position Instability

LGIT-MFCMFC Section 2

The tendency of moral positions to swing between extremes rather than converging on stable equilibria. Instability arises from the dynamics of moral advocacy, where moderation is politically weak.

Example

Public morality swings from permissive to restrictive to permissive again, never settling. Each extreme generates the conditions for reaction to the opposite extreme.

Multi-Cycle Capital

SFSF Section 5.4

Capital that is not exhausted in a single deployment but reused, recycled, or reallocated across successive mission cycles. Without semantic agency, each cycle risks drift as intent must be reasserted. With semantic agency, purpose persists as a stable reference, enabling capital to compound mission rather than dilute it.

Example

A revolving education fund deploys $1M to scholarships, receives $800K back as graduates contribute, redeploys to new students—across 20 years and 5 cycles. The education mission object governs all cycles without re-encoding purpose each time.

Multiple Entry Points

INDSection 4.7: Multiple Entry Points

The design principle that users can enter the idea landscape through different modalities—theme, symbol, era, author, question—not just keyword search. Multiple entry points serve diverse discovery needs and literacies.

Example

A user might enter via search ('climate change'), via browsing (Environmental themes), via question ('What caused the Romantic movement?'), via author (all ideas in Shelley's work), or via symbol (representations of mountains). Each is a valid entry to the idea landscape.

Mythic Memory

IMGIMG Section 2

The use of founding myths and storytelling to stabilise institutional identity across generations. Myth operates by abstraction rather than precision, compressing complexity into symbols and moral narratives that are necessarily ambiguous. This ambiguity allows myths to remain relevant but decouples them from specific institutional commitments.

Example

A university's founding myth of 'bringing light to darkness' provides identity across centuries but constrains nothing—it can justify a research focus, a teaching focus, or a commercial focus equally well.

Narrative Drift

IMGIMG Section 3

The gradual reinterpretation of institutional purpose as narratives are retold across generations. Without structural anchoring, each generation subtly reshapes the founding story to match current preferences.

Example

A hospital founded 'to serve the poor' gradually reinterprets this as 'to provide excellence' as leadership changes—same narrative words, completely different operational reality.

Narrative Fragility (Learning)

ILAILA-Core Section 6

One of four dominant learning fragility cycles: learning destabilises institutional identity, purpose, or self-conception. When evidence undermines the stories institutions tell about themselves, they suppress learning to preserve coherent self-conception.

Example

Financial regulators exhibit narrative fragility—learning undermines the narrative of control and market rationality. Symptoms include recurrent systemic crises despite post-mortems.

Narrative Lag

LGITLGIT Section 1.3

The persistence of legitimacy language after its enabling conditions have disappeared. Narrative lag introduces compounding risks: misdiagnosis (problems framed as temporary deviations), delayed adaptation (repair strategies instead of redesign), and trust drain (participants recognise the mismatch before institutions do).

Example

Continued invocation of 'rules-based order' after enforcement mechanisms have collapsed represents narrative lag—the language persists but no longer describes operational reality.

Narrative Memory

IMGIMG Section 2

Memory that relies on meaning being inferred, retold, and recontextualised by successive actors. Narrative memory is interpretive by nature—as institutions evolve, narratives adapt to new circumstances, leadership, and pressures. This flexibility makes narrative an unreliable carrier of purpose across time.

Example

A company's founding story of 'disrupting the industry to empower users' is retold by each CEO to justify their current strategy—the narrative persists while meaning shifts.

Native Digital Settlement

DMDM Section 8

The emergence of value transfer capabilities native to digital networks—programmatic, low-marginal-cost, cross-border, trust-minimised. This removes the original constraint that made advertising dominant, revealing continued reliance as architectural inertia rather than technological limitation.

Example

Micro-transactions, digital identity/reputation systems, and autonomous economic agents now enable direct exchange where only attention capture was previously possible.

Native Value Layer

InternetInternet Section 3

A foundational infrastructure component that would enable value exchange as seamlessly as the internet enables information exchange. Its absence forces all value transactions through intermediaries and workarounds.

Example

The internet has native protocols for data transfer (TCP/IP), addressing (DNS), and content delivery—but no native protocol for payment. Every transaction requires jumping to external systems (credit cards, PayPal, etc.).

Natural Transformation ηη: Id_I ⇒ R

FRSFRS Section 4.5

The canonical embedding of any institutional system into its regenerative counterpart. For each object S, there exists a morphism η_S: S → R(S) representing the structural upgrade from fragile to regenerative architecture. η captures the transition from traditional capital to PSC, from misaligned to aligned cycles.

Formula
η_S: S → R(S)
Example

η_hospital embeds a traditional budget-cycle hospital into its PSC-governed, RCA-aligned regenerative version. The natural transformation describes how any institution can be systematically upgraded.

Non-Bypassability (CEA Primitive)

CEACEA Section 2.5

The fifth CEA primitive: the commitment cannot be easily circumvented through exceptions, reinterpretation, or quiet abandonment. Non-bypassable commitments have no administrative override mechanism.

Example

Most institutional commitments have implicit 'unless inconvenient' clauses. Non-bypassable design removes discretionary exit: the commitment architecture has no exception pathway that doesn't itself trigger consequences.

Non-Depletion Condition

FRSFRS Section 3.2

The requirement that capability does not diminish across mission cycles. Weak non-depletion requires V(x_{t+T}) ≥ V(xₜ) (preservation), while strong non-depletion requires E[V(x_{t+T})] > V(xₜ) (growth). This is the second invariant required for regeneration.

Formula
V(x_{t+T}) ≥ V(xₜ) or E[V(x_{t+T})] > V(xₜ)
Example

A scientific laboratory satisfies non-depletion if its research throughput at the end of each equipment cycle equals or exceeds throughput at the start—capability is never silently degrading.

Number of CyclesN

PSCPSC Section 4.1

The total number of deployment-and-return cycles over the analysis period. Determined by time horizon divided by cycle duration.

Formula
N = Time Horizon / τ
Example

A 30-year analysis with 3-year cycles: N = 30/3 = 10 cycles.

Observation Space (Ω)Ω

ILAILA-Core Section 4

The component of a learning cycle defining which signals are visible or admissible as evidence. Narrow observation spaces filter out inconvenient evidence; politically filtered observation spaces privilege compliance metrics over performance data. Expanding Ω is necessary but insufficient for learning—update space must also be authorised.

Example

A healthcare system with Ω = cost metrics only cannot learn about clinical outcomes. Expanding Ω to include patient outcomes enables learning only if the update space U also permits protocol changes.

Off-Balance-Sheet Logic

PPPABS Section 4.1

The primary attraction of PPPs: their potential to remain off the public balance sheet or reduce reported impact of capital investment on headline debt metrics. By structuring long-term payment commitments as service fees or availability charges, governments spread recognition across decades, preserving the short-term appearance of fiscal restraint despite long-term inflexibility.

Example

A conventional public investment requires immediate debt recognition. A PPP with identical long-term fiscal impact may avoid this through contractual structuring, making it politically and fiscally attractive regardless of its economic superiority.

Offensive Impact Architecture

SFSF Section 6

A reframing of impact finance where purpose operates as a generative engine rather than a constraint. Mission defines what capital is for, becoming the organizing principle around which deployment strategies are designed. Questions shift from compliance ('does this violate rules?') to coherence ('does this advance the mission graph?').

Example

Instead of screening out harmful investments, offensive impact proactively designs capital flows that strengthen the mission graph—each deployment creates new pathways for future mission-aligned capital.

On-Chain Promise, Off-Chain Enforcement

NFTsNFTs Section 10

The fundamental mismatch between agreements recorded on blockchain and the real-world enforcement they would require. The blockchain cannot reach into the physical or social world to compel behaviour.

Example

A smart contract promises that physical art will be delivered upon NFT purchase. The blockchain records this promise but cannot ship the art or compel the seller to do so.

Operating Conditions

IOASection 1: The Problem

The institutional substrate that determines how decisions translate into action and how events become manageable risks. Distinct from decisions (what to do) and events (what happens), operating conditions govern how the institution functions under stress, change, and normal operations. When operating conditions degrade, even good decisions fail and risk systems activate too late.

Example

A board decides to expand services. The decision is sound. But if operating conditions have degraded—staff are exhausted, learning channels are blocked, escalation boundaries are unclear—the expansion will fail regardless of the decision's quality. The problem isn't the decision but the conditions under which it must execute.

Operating Substrate

IOASection 1: The Problem

The foundational layer of institutional conditions that must function for governance decisions to translate into action and risk responses to remain coherent. The operating substrate is what IOA governs—not the decisions themselves or the events that occur, but the conditions under which institutional action takes place.

Example

A hospital's operating substrate includes: how clinical disagreements are resolved, how new evidence reaches practice, how commitments to patients are maintained across shift changes, and how emergencies escalate through appropriate channels. When this substrate degrades, excellent governance and risk management cannot compensate.

Operational Drift

IOAIOA Section 5.4

The gradual divergence between an institution's formal mandate and its day-to-day functioning, typically evolving informally in response to pressure. Over time, the gap between description and operation becomes a legitimacy fault line.

Example

A standards body whose formal role is 'neutral certification' but which increasingly advocates for specific policies has experienced operational drift—its actual function no longer matches its self-description.

Operator Algebra of Institutional Alignment

OAIAOAIA Section 1

A formal mathematical framework for composing and verifying institutional design properties. OAIA treats the Δ (decoupling) and Λ (alignment) operators algebraically, enabling rigorous proof that institutional designs satisfy desired properties.

Example

OAIA can formally prove that a proposed governance structure satisfies cycle decoupling—not through simulation or case study, but through algebraic verification of structural invariants.

Operator CompositionΔ ∘ Λ

OAIAOAIA Section 2

The algebraic combination of institutional operators to create compound properties. Composition follows specific rules—some operators commute, others don't—and the algebra determines which institutional designs are possible.

Example

Composing Δ (decoupling from political cycles) with Λ (alignment to 30-year infrastructure cycles) creates a compound operator that protects long-horizon infrastructure investment from short-term political disruption.

Operator Non-Commutativity[Aᵢ, Aⱼ] ≠ 0

OAIAOAIA Section 6.3

The fundamental property that domain alignment operators almost never commute. This means the order of applying alignment transformations matters—health-then-budget differs from budget-then-health—and explains why cross-sector coordination fails structurally.

Formula
A₁A₂ ≠ A₂A₁
Example

Science-grant non-commutativity: applying A_science (2-5 year throughput) then A_gov (1-year grants) destroys research alignment. The grant cycle cannot be undone by subsequent scientific alignment attempts.

Opportunistic Behavior Window

PPP-WCFWCF Section 4

The period during contract execution when one party can exploit incompleteness or information advantage. Windows open when circumstances create leverage that the contract didn't anticipate.

Example

A crisis creates urgent need for service continuation. The private partner uses this window to renegotiate terms. The window opened from circumstances the contract couldn't anticipate.

Organisational Denial

ILA-ALRALR Section 9

The collective inability to acknowledge realities that would require uncomfortable changes. Unlike individual denial, organisational denial operates through structures that make denial the path of least resistance.

Example

Everyone privately knows a program isn't working, but publicly affirming this would threaten jobs, budgets, and reputations. The organisation denies what its members individually know.

Overbinding

IOASection 4.3: Commitment Durability

Excessive commitment durability that prevents legitimate adaptation. Overbinding occurs when institutions cannot revise commitments even when circumstances have fundamentally changed, when original purposes have been achieved or become impossible, or when better alternatives emerge. Overbinding is the opposite failure from commitment abandonment.

Example

A charity's founding charter specifies helping a particular disease. The disease is cured. Without revision architecture, the charity either dissolves (losing organisational capacity) or distorts its mission to technically comply while actually serving different purposes. Overbinding prevented appropriate adaptation.

Overextended Grievance

LGITLGIT Section 6.4

LGIT category for authority that persists beyond its justification period, producing misalignment and fragility. The corrective mechanism has outlived the conditions that justified it.

Example

Policies still operating at full intensity despite evidence that targeted disparities have substantially diminished—authority calibrated to past conditions governing present decisions.

Oversight Inflation

INAINA Section 2.3

A symptom of semantic decay: increasing reliance on audits, reviews, and enforcement to compensate for loss of legibility. As meaning becomes harder to trace, institutions add more procedural controls rather than addressing the underlying architectural problem.

Example

A charity adds annual compliance audits, quarterly board reviews, external evaluations, and whistleblower hotlines—each responding to drift incidents—without ever making mission alignment structurally verifiable.

Partial Architecture

CEACEA-LTE Section 4

An institutional design in which some components of the action chain are present while others are missing, weak, or bypassable. Because each layer depends on the others, incompleteness generates characteristic failure patterns. Learning without CEA produces insight without change; CEA without ILA produces rigidity and performative compliance.

Example

An institution with strong learning and strong enforcement but weak commitment architecture will cycle between knowing what to do and being unable to bind itself to do it.

Participation Architecture

IOASection 4.1: Participation and Procedural Legitimacy

The first domain of IOA: how institutions govern who participates in what, under what conditions, and with what standing. Includes rules about voice, standing, bounded disagreement, and the distinction between procedural and substantive legitimacy. When participation architecture fails, institutions either exclude voices that should be heard or cannot bound disagreement that should be contained.

Example

A professional association lacks clear rules about who has standing to challenge leadership decisions. When controversy erupts, everyone claims the right to object, no forum can contain disagreement, and the institution fragments. The problem isn't the controversy but the missing participation architecture.

Participation Asymmetry

InternetInternet Section 10

The imbalance between what users contribute (attention, data, content) and what they receive (access to services). The asymmetry is hidden because there's no mechanism to price user contributions against platform services.

Example

Users provide personal data worth hundreds of dollars annually in exchange for services that cost the platform pennies to provide. The asymmetry is invisible because user contributions have no price signal.

Path Dependence

AcademicSee: Institutional Memory, Why Institutions Forget

How historical decisions constrain future choices, often locking in suboptimal outcomes. IRSA's research on Why Institutions Forget and Institutional Memory shows that path dependence operates through knowledge loss—institutions forget why paths were chosen, making change difficult. Preserving institutional memory can break harmful path dependence.

Example

A city's road layout reflects medieval patterns despite modern inefficiency. IRSA research shows the issue isn't just physical infrastructure but lost knowledge of why decisions were made—recovering that knowledge enables architectural change.

Path Independence of Purpose

SFSF Section 5.2

The defining feature of semantic agency in finance: capital may traverse multiple institutions, jurisdictions, and balance sheets, yet its governing intent remains stable. Each transaction references the same mission object, preserving semantic continuity even as syntactic form changes.

Example

Climate capital flows from a US foundation → Swiss fund → Kenyan project → Indian refinancing partner. In container-centric finance, purpose is renegotiated at each boundary. In semantic finance, all four entities reference the same mission object.

Path-Based Auditability

INAINA Section 6.2

A form of audit enabled by idea-native architecture that asks whether an action traces coherently to an authorised purpose through declared relationships, rather than merely checking container-level compliance. Enables audits of intent, identification of orphaned actions, and detection of drift.

Example

An audit query: 'show all expenditures that cannot trace to an authorised mission objective through supports/enacts relationships'—revealing actions that are procedurally compliant but semantically orphaned.

Path-Based Governance

SFSF Section 5.3

A governance approach that evaluates whether sequences of actions remain coherent with the mission graph, rather than asking whether a particular use of funds complies with a rule at a moment in time. Especially important for long-horizon systems where impact emerges through cumulative effects.

Example

Instead of auditing whether each investment meets ESG criteria independently, path-based governance asks: 'Has this capital's 10-year trajectory strengthened or weakened its alignment with the original conservation mission?'

Path-Based Reasoning

INAINA Section 2.2

Governance reasoning that asks 'how does this action relate to the original purpose?' by tracing explicit semantic paths through ideas and their relationships. Contrasted with surface-based reasoning that only examines whether containers satisfy current rules.

Example

Rather than asking 'did this expenditure comply with budget line 4.2?', path-based reasoning asks 'does this expenditure trace through an unbroken chain of supports/derives-from relationships to an authorised mission objective?'

Path-Dependent Fragility

ILAILA-LLR Section 3.3

Institutional fragility that accumulates based on the specific history of decisions, particularly failed or suppressed learning opportunities. Each moment of anti-learning creates brittleness that constrains future adaptation options.

Example

An institution that suppressed early warnings about a systemic risk develops path-dependent fragility—later correction is harder because admitting the risk now means admitting years of suppression.

Patient Capital

RCMRCM Section 3.1

Capital with extended time horizons that doesn't require quick returns. Rare in traditional markets due to fund structures (7-10 year PE funds) and investor expectations. PSC is inherently patient—no return timeline pressure.

Example

A traditional VC fund must exit within 10 years. A PSC education fund can operate for 100 years, adjusting to changing educational needs without exit pressure.

Payment Layer Absence

InternetInternet Section 3.2

The foundational missing infrastructure that makes direct value exchange on the internet prohibitively costly or complex. This absence shapes every aspect of internet economics, forcing reliance on advertising and intermediaries.

Example

Paying $0.001 for an article would require credit card infrastructure costing $0.30—the payment layer absence makes micro-transactions economically impossible, ruling out entire business models.

Performance-Reality Gap

CEA-PGPG Section 8

The distance between what governance appears to do and what it actually does. Large gaps indicate severe performative governance—governance activity is active, but governance effect is minimal.

Example

Annual reports show robust oversight. Internal reality shows executives acting without constraint. The gap between performed governance and actual governance is extreme.

Performative Commitment

CEACEA Section 3.1

A commitment that signals intent without creating actual constraints. Performative commitments lack most or all CEA primitives—they serve communicative functions (reputation, stakeholder management) rather than behavioural constraint. Most institutional commitments are performative.

Example

A company's 'commitment to sustainability' that appears in annual reports but doesn't influence procurement decisions, investment criteria, or executive compensation—it performs commitment without binding behaviour.

Performative Governance (Activity)PG

CEA-PGPG Section 1

Governance activity that satisfies symbolic or political requirements without producing substantive change. Performative governance is governance theatre—the appearance of governing without the substance of it. See also: Performative Governance (Commitments) for the non-binding commitments perspective.

Example

A board meets quarterly, reviews documents, and passes resolutions—but decisions are made elsewhere, documents are ceremonial, and resolutions are predetermined. The governance is performed, not practiced.

Performative Governance (Commitments)

CEACEA-PG Section 1

A structural condition in which commitments are expressed, recorded, and publicised, but not structurally capable of constraining future action. Commitments function primarily as signals of intent, legitimacy, or alignment rather than as binding obligations. The defining feature is non-bindingness by design, not deception or bad faith. See also: Performative Governance (Activity) for the governance theatre perspective.

Example

A national Net-Zero 2050 commitment with extensive reporting frameworks but no statutory force over budgets, approvals, or capital allocation. The commitment functions as signalling device rather than execution constraint.

Performative Governance IndexPGI

CEACEA-PG Section 3.7

A composite diagnostic metric for assessing binding properties of commitments. PGI increases when: binding strength decreases, non-bypassability decreases, enforcement coupling decreases, authority alignment decreases, temporal persistence decreases, and verification integrity decreases. High PGI indicates commitments functioning as symbolic signals rather than execution constraints.

Formula
PGI ↑ when: binding ↓, non-bypass ↓, enforcement ↓, authority align ↓, temporal ↓, verification ↓
Example

A climate commitment with PGI assessment: binding strength (low), non-bypassability (low), enforcement coupling (low), authority alignment (low), temporal persistence (medium-low), verification integrity (low) = High PGI, indicating performative governance.

Performative Stability

CEACEA-App Section 6.3

The stable equilibrium where commitment functions primarily as legitimacy instrument rather than binding control. Institutions increase commitment density, refine targets, expand reporting—each improving perceived responsiveness while avoiding binding constraint. High commitment visibility with low execution pressure.

Example

An institution responds to repeated climate target misses by announcing more ambitious targets, better reporting frameworks, and expanded stakeholder engagement—optimising signalling rather than execution.

Period-Phase-Amplitude Decomposition(T, φ, A)

OAIAOAIA Section 4.1

The three-mode structure of institutional cycles from RCA. Period T is the recurrence interval. Phase φ is the timing within cycles. Amplitude A is the quantum of capital per cycle. Misalignment can occur in any dimension.

Example

A hospital might have correct period (5-year equipment cycles) but wrong phase (capital arrives 6 months late) and insufficient amplitude (80% of needed quantum)—three independent failure modes.

Permanent Grievance

LGITLGIT-PEPG Section 1

A condition where grievance claims are structurally insulated from empirical updating, institutional resolution, or legitimacy decay. Grievance persists not because injustice continues but because the architecture prevents decay even when correction has occurred.

Example

A policy addressing historical discrimination remains unchanged for decades despite measurable improvements—not because injustice persists but because the grievance has been structurally immunised from review.

Perpetual Horizon

REAREA Section 5.2

The time horizon characteristic of regenerative capital: infinite or perpetual, compared to debt (short), equity (medium), and grants (single-use). Achieved when R is sufficiently high that capital persists indefinitely.

Formula
At R → 1.0, capital horizon → ∞
Example

A traditional grant has horizon = 1 cycle (then depleted). A 10-year loan has horizon = 10 years. Regenerative capital with R = 0.95 operates effectively forever, still maintaining 60% of original capital after 30 cycles.

Perpetual Mobilisation

LGIT-PEPGPEPG Section 8

The political strategy of maintaining constituencies in permanent crisis mode, where grievance resolution would demobilise supporters. Perpetual mobilisation requires perpetual grievance.

Example

Political movements that would lose supporters upon victory have incentives to never fully succeed. Each victory must reveal new grievances requiring continued mobilisation.

Perpetual Social Capital (PSC)

PSCPSC Section 2.1

A fourth capital class alongside debt, equity, and grants. PSC is characterized by zero interest, no liability on beneficiary balance sheets, soft repayment obligations, and capital recycling.

Example

A $100,000 PSC deployment to fund scholarships. Graduates are encouraged (but not obligated) to pay forward when financially able, recycling capital for future students.

Persistence (CEA Primitive)

CEACEA Section 2.2

The second CEA primitive: the commitment survives leadership changes, budget cycles, and institutional forgetting. Commitment must be embedded in governance structure, not dependent on current personnel's continued presence or attention.

Example

A reform commitment that depends on the current CEO's personal priority has weak persistence. Embedding the same commitment in charter documents with supermajority change requirements creates structural persistence.

Philanthropy-Investment Integration

Family OfficesFamily Offices Section 12

The challenge of aligning philanthropic goals with investment strategy so that wealth management and impact creation reinforce rather than conflict with each other. Most family offices treat these as separate domains.

Example

A family donates to environmental causes while investing in companies that cause environmental damage. Integration would align investments with philanthropic values, creating coherence.

Platform Dependency

InternetInternet Section 8

The structural requirement for creators to rely on platforms they do not control for access to audiences and revenue. This dependency creates power asymmetries that platforms exploit through changing terms, algorithm adjustments, and fee increases.

Example

A creator who built their audience on a platform faces complete loss if banned or if the platform changes policies. The dependency is structural—there's no alternative path to their audience.

Platform Rent Extraction

InternetInternet Section 6

The ability of intermediary platforms to capture value disproportionate to their contribution because they control access between creators and audiences. This rent-seeking is possible because the internet lacks native creator-audience payment channels.

Example

A platform takes 30% of creator revenue not because it provides 30% of the value, but because it controls the connection to the audience. Creators cannot bypass the platform because there's no alternative value-transfer mechanism.

Platform Switching Costs (NFT)

NFTsNFTs Section 7

The barriers preventing participants from moving between NFT marketplaces. Low switching costs enable marketplace competition that undermines royalty enforcement—traders simply move to platforms that don't enforce royalties.

Example

Moving from one marketplace to another costs nothing—the NFT itself is portable. This portability means any marketplace enforcing royalties loses volume to competitors who don't.

Pledge Architecture

CEA-PledgesPledges Section 1

The structural design of how commitments are made, monitored, and enforced. Pledge architecture determines whether pledges are credible, actionable, and resistant to abandonment.

Example

A well-designed pledge architecture specifies what is promised, how compliance is measured, what consequences follow non-compliance, and who has authority to enforce—not just what is intended.

Pledge Decay

CEA-PledgesPledges Section 2

The gradual erosion of commitment strength over time as initial enthusiasm fades, circumstances change, and enforcement attention diminishes. Without maintenance, pledges naturally decay.

Example

A five-year climate pledge starts strong but by year three, attention has moved on, monitoring has lapsed, and the pledge is quietly abandoned or redefined.

Pledge Proliferation

CEA-PledgesPledges Section 7

The multiplication of pledges and commitments that dilutes the meaning and expectations associated with each. When everything is pledged, pledging signals nothing.

Example

A company has signed 47 pledges covering climate, diversity, ethics, and sustainability. The proliferation means no single pledge commands attention or resources.

Pledge Stack Archetype

CEACEA-PG Section 4.1

First performative governance archetype characterised by accumulation of multiple, overlapping commitments without hierarchical ordering or execution precedence. Commitments function as coverage rather than constraints; when outcomes fail, responsibility diffuses across the stack.

Example

An organisation with climate pledge, sustainability framework, ESG strategy, and stakeholder charter all covering similar domains with no conflict-resolution rules between them. Each adds rhetorical coverage without reducing discretion.

Pledge Washing

CEA-PledgesPledges Section 8

Using pledges to create positive perceptions while avoiding substantive action. Pledge washing treats commitments as communication tools rather than binding obligations.

Example

A fossil fuel company makes net-zero pledges while expanding extraction. The pledges are public relations—they wash the company's image while behaviour continues unchanged.

Plural Enactment

INAINA Section 3.4

The property that multiple containers can enact the same idea simultaneously or sequentially. This enables governance to reason about aggregate alignment across heterogeneous systems rather than treating each container in isolation.

Example

Mission object M₁ is enacted by three different funds, two grant programs, and an investment policy—governance can query whether all six containers remain aligned with M₁ rather than auditing each separately.

Political Cycle Capture

PPP-LHCLHC Section 5

The subordination of long-term missions to short-term political cycles. When funding, authority, and attention operate on political timescales, missions are captured regardless of their actual requirements.

Example

Infrastructure maintenance is deferred before elections (politically unpopular spending) and announced after (new projects are more visible). The maintenance cycle is captured by the political cycle.

Political Economy of Permanent GrievancePEPG

LGIT-PEPGPEPG Section 1

The economic and political structures that create incentives for grievances to persist rather than resolve. PEPG explains why some grievances are actively maintained against the interests of those who hold them.

Example

Leaders, industries, and media have economic interests in grievance continuation. Resolution would eliminate their revenue and power. The political economy creates grievance permanence.

Political Fragility

RC-WDRC-WD Section 2.1

The vulnerability of development programs to electoral cycles and political ideology shifts. Elections every 3-5 years allow new governments to redirect, reduce, or eliminate programs based on political preferences rather than effectiveness.

Example

A successful maternal health program established by Government A gets defunded by Government B, which prioritises different sectors. All accumulated capability—trained midwives, established protocols, community trust—dissipates.

Portability of Meaning

INAINA Section 3.4

A property enabled by separating meaning from containers: ideas can persist even as containers change. A policy can be reimplemented in a new system without redefining its purpose; a fund can be restructured without losing its mission history.

Example

When a charity migrates from one grant management system to another, the purpose objects and their relationships transfer cleanly rather than being re-encoded from scratch in the new system's format.

Post-Crisis Commitment Cycle

CEACEA-App Section 4.1

The recurring pattern following major incidents: acknowledgement of harm → formal commitment to 'never again' → establishment of reviews/taskforces → publication of recommendations → gradual reversion to pre-incident conditions. Recurrence is common because binding architecture is absent.

Example

Following a safety failure, an organisation commissions inquiry, implements reforms, declares problem solved. Within 18 months, reforms erode and similar failures recur—the commitment governed narrative, not operations.

Post-Fictional Cooperation

LGITLGIT Section 5.5

Institutional arrangements that function without requiring participants to affirm what they no longer believe—cooperation grounded in aligned architecture rather than shared narrative, where legitimacy emerges from truth-alignment rather than rhetorical consensus.

Example

A trade agreement that specifies exactly what is enforceable, by whom, under what conditions—rather than invoking 'free trade values'—represents post-fictional cooperation.

Post-Hoc Governance

Pre-GovPre-Gov Section 3

Governance introduced after delegation, autonomy, and incentives have already been structured. Post-hoc governance responds to misalignment through additional rules, expanded reporting, tighter approval thresholds, and escalated sanctions—attempting to constrain behaviour after the fact rather than shaping decision spaces in advance.

Example

After a scandal, a bank adds new compliance requirements, reporting layers, and approval processes—but never clarifies what the institution exists to sustain or where legitimate discretion ends.

Post-Hoc Legitimacy

PPPGDS Section 2

Any evaluative process that assesses the acceptability of a decision after selection has occurred, without invalidating the underlying option's existence. Post-hoc legitimacy reconstructs reasonableness rather than establishing authorisation.

Example

Board reviews, regulatory audits, and public inquiries all operate post-hoc—asking whether a decision was reasonable given circumstances, rather than whether the option should have existed at all.

Power Distribution IndexPDI

PEPolitics Section 6.2

A measure of how concentrated or distributed decision-making authority is within a capital system. Higher PDI indicates more distributed power (more stakeholders involved in capital allocation decisions).

Formula
PDI = 1 - Σ(share_i²) where share_i is each actor's proportion of allocation authority
Example

A traditional grant has PDI ≈ 0 (one funder decides all). A mature PSC system might have PDI ≈ 0.8 (beneficiaries, operators, and recycled capital all influence flows).

Pre-Constitutional Meaning System

DMDM Section 10

A meaning and exchange system that scaled before its governing architecture was defined. Like markets and institutions, large-scale meaning systems require constitutional constraints to remain stable; without them, optimisation defaults to whatever incentives clear most easily.

Example

The internet should be understood not as a failed public sphere but as a pre-constitutional meaning system—advertising served as an interim organising principle whose continued dominance reflects historical sequence, not functional necessity.

Pre-Decisional Constraint

PPP-GDSGDS Section 6

Limitations that are set before formal decision-making begins and that shape what decisions are possible. Pre-decisional constraints often determine outcomes more than the decisions themselves.

Example

The choice to use a PPP structure is pre-decisional—it constrains all subsequent decisions about the project. The pre-decision shapes outcomes more than governance within the PPP.

Pre-Governing

Pre-GovPre-Gov Section 1

The practice of designing governance conditions before delegation or control. Pre-Governing creates the architecture within which future decisions become coherent rather than arbitrary, establishing invariants that persist across leadership changes.

Example

Before hiring a CEO, a board pre-governs by establishing decision rights, veto conditions, and succession protocols—not trusting the CEO to define their own constraints.

Pre-Institutional Stability

Art MarketArt Market Section 3

A market condition where stability emerges from informal networks and personal relationships rather than from formal institutional frameworks. This stability is fragile because it depends on specific individuals and cannot be transmitted or scaled.

Example

Major gallery relationships that span decades stabilise artist careers not through contractual mechanisms but through reputation and personal trust—when key gallerists retire or die, these stabilising structures dissolve.

Price Formation Fragility

Art MarketArt Market Section 4.2

The vulnerability of market prices to manipulation, information asymmetry, and coordination failure when transparent price discovery mechanisms are absent. Prices emerge from opaque negotiations rather than competitive bidding.

Example

A gallery can price an artist's work at any level and refuse sales to maintain price points, creating 'market prices' that reflect strategy rather than demand. When the gallery closes, the price floor disappears.

Primary Sale Dependency

NFTsNFTs Section 5

A market structure where creators must rely entirely on initial sales because secondary market mechanisms (royalties) cannot be enforced. This dependency concentrates risk and eliminates ongoing creator-collector relationships.

Example

An artist prices their NFT to capture all expected lifetime value at primary sale because royalties cannot be guaranteed. This front-loads revenue and severs the ongoing stake that royalties were meant to create.

Principal-Agent Problem

AcademicSee: Architectures of Ease, Alignment Capital

A fundamental challenge in economics and governance where one party (the agent) makes decisions on behalf of another (the principal), but their interests may diverge. In institutional settings, this creates systematic misalignment that undermines long-term mission achievement. IRSA's research addresses this through Architectures of Ease, which structurally aligns incentives rather than relying on monitoring or contracts.

Example

A nonprofit board (principal) hires an executive director (agent) who maximises their own career outcomes rather than mission impact. Traditional solutions add oversight; our Architectures of Ease approach redesigns the system so the easiest path for the agent is also the best path for the mission.

Procedural Legitimacy

IOASection 4.1: Participation and Procedural Legitimacy

Legitimacy that derives from how decisions are made rather than what decisions are made. Procedural legitimacy survives substantive disagreement: participants may hate the outcome but accept it as legitimate if the process was fair. IOA recognises that institutions must maintain procedural legitimacy even when—especially when—they cannot achieve substantive consensus.

Example

A tenure committee denies promotion. The candidate disagrees substantively but accepts the decision as legitimate because the process was transparent, criteria were clear, and appeal rights existed. Procedural legitimacy held even though substantive agreement was impossible.

Progressive Disclosure

INDSection 4.5: Progressive Disclosure

An interface principle where complexity unfolds on demand—starting simple and adding depth as users request it. In idea-native discovery, users see idea summaries first, then relationships, then manifestations, then full provenance.

Example

Click 'the sublime': see one-sentence definition. Click again: see key relationships. Click again: see manifestations in the collection. Click again: see full scholarly history. Each level adds detail without overwhelming first contact.

Projection-like PropertyA² ≈ A

OAIAOAIA Section 3.1.1

The near-idempotence of well-architected alignment transforms. Once capital is aligned, additional alignment transformations produce no further change. This is why PSC capital stays in cadence indefinitely—regeneration is self-sustaining.

Formula
A² = (Λ ∘ Δ)(Λ ∘ Δ) ≈ Λ ∘ Δ = A
Example

A PSC pool behaves like a projection onto mission space. Capital entering the pool stays aligned across cycles—applying A again doesn't change anything because A(A(K)) ≈ A(K).

Protected Continuity

ILAILA-LLR Section 4.4

Institutional continuity that survives leadership transitions, external shocks, and internal crises. Protected continuity requires structural embedding of purpose, not just cultural transmission. The failure of protected continuity is what ILA terms 'institutional forgetting.'

Example

Central bank independence protects continuity of monetary policy across political transitions. Contrast with agencies subject to political capture where continuity depends on which party holds power.

Protected Feedback Channels

LGITLGIT-LD Section 5.4

Institutional mechanisms designed to register evidence of changing conditions without triggering defensive responses. Protection means feedback can be heard and processed without being filtered through moral threat detection.

Example

An independent evaluation unit with guaranteed publication rights, protected from institutional pressure to suppress findings that challenge existing narratives.

Protected Learning ArchitecturePLA

ILAILA-EBD Section 4

A design layer that allows institutions to update themselves without destabilising their authority base. PLA creates structural separation between the learning process and the legitimacy structure, enabling evidence integration that would otherwise be 'dangerous'.

Example

A court system with PLA can update sentencing guidelines based on new evidence without implying past sentences were unjust—the architecture protects legitimacy while enabling update.

Protected Review vs Protected Permanence

LGITLGIT Section 7.2

LGIT design principle distinguishing between protecting grievance regimes from hostile erasure (appropriate) versus protecting them from structured reassessment (inappropriate).

Example

Grievance mandates cannot be removed by executive discretion (protected from erasure) but still require periodic independent review as condition of continued authority (not protected from assessment).

Protected Update Pathway

ILAILA Section 4.2

A structured route from learning to implementation that cannot be blocked by operational pressure, political convenience, or hierarchical resistance. Each pathway specifies: triggers (what initiates learning), authority (who can mandate change), timelines (when change must occur), and accountability (what happens if it doesn't).

Example

A Protected Update Pathway for patient safety might specify: any pattern of three similar incidents triggers mandatory protocol review; the Learning Authority has 90 days to mandate changes; non-implementation requires board-level justification.

Protected Updating

ILAILA-LLR Section 4.1

Institutional learning that preserves continuity of identity and purpose while allowing genuine change. Protected updating prevents both ossification (refusing change) and dissolution (changing so much that identity is lost). Requires governed pathways that specify what can change and what must persist.

Example

A constitutional court updates interpretation while maintaining constitutional continuity—the document endures but meaning evolves. Without protection, courts either refuse adaptation or rewrite wholesale.

Protection Structure (Π)Π

ILAILA-Core Section 4

The component of a learning cycle defining who or what is insulated during destabilisation. Weak protection structures leave actors exposed to reputational and political penalty if learning implies prior error. Without Π, updating becomes personally unsafe, and rational actors suppress learning to protect themselves.

Example

An institution where Π = none (senior officials remain exposed to blame) will exhibit anti-learning regardless of evidence quality. Creating a technically autonomous learning unit with blame insulation implements Π.

Protocol Dependency (NFT)

NFTsNFTs Section 13

The reliance of NFT governance on protocol-level decisions made by blockchain developers, wallet providers, and marketplace operators. These dependencies mean that individual artists cannot enforce agreements that protocols don't support.

Example

Royalty enforcement requires protocol-level support (like EIP-2981), but protocols are governed by developer consensus that prioritises different values than artist rights.

Provenance as Narrative

Art MarketArt Market Section 5.2

The use of ownership history as a value-creating story rather than a factual chain of custody. When provenance cannot be verified, it becomes a marketing tool whose accuracy is secondary to its rhetorical power.

Example

'Previously in the collection of...' creates value regardless of verification—the narrative of distinguished ownership operates independently of documented proof, making provenance a constructed asset rather than a factual record.

Provenance-Aware Intent Graphs

SGAISGAI Section 5.3

Semantic structures where each goal object carries a record of its origin, authority, revision history, and dependencies. Changes to intent become explicit events rather than silent mutations, enabling inspection, audit, rollback, and tracing of current behavior back to declared purpose.

Example

A legal AI's 'client confidentiality' goal shows: created by bar association policy (2019), modified to include digital communications (2021), constrained by mandatory reporting exception (2022). Auditors can trace exactly why the system protects or reveals specific information.

Provenance-First Linking

INAINA Section 3.3

An architectural principle that treats the traceable lineage of ideas as a core governance concern. Each idea carries information about where it originated, what it derived from, what decisions modified it, and what containers have enacted it over time. Changes are recorded as transformations rather than erasures.

Example

When a policy is revised, the system preserves not just the new text but the explicit link showing it supersedes version 2.1, which derived from board resolution BR-2019-04, which operationalised strategic objective S3.

Provenance-First Linking

INDSection 4.3: Provenance-First Linking

The principle that every idea must link to its source materials—the containers that embody it. Provenance-first linking maintains the connection between navigable ideas and authoritative sources, preventing ideas from floating free of evidence.

Example

'The American Dream' as an idea links to its manifestations: Fitzgerald's Gatsby, Steinbeck's Grapes of Wrath, contemporary scholarship. Users navigate the idea, but can always trace to containers that evidence it.

Proxy Monetisation Architecture

DMDM Section 3

A compensatory economic structure that substitutes persuasion for exchange. Advertising emerged as the internet's proxy monetisation layer because native settlement was absent—where value could not be transferred, attention could be captured; where users could not pay, they could be sold.

Example

The early internet lacked native payment/settlement infrastructure, so advertising became the only scalable monetisation mechanism—not because it was superior, but because it was compatible with existing constraints.

Proxy Objectives

SGAISGAI Section 4.1

Measurable, trainable, or enforceable objectives that stand in for complex normative goals. Proxies function adequately when tasks are narrow, but as systems generalise, optimisation pressure pushes systems to satisfy the proxy even when doing so undermines the underlying goal.

Example

Accuracy metrics proxy for truthfulness, preference scores proxy for helpfulness, toxicity filters proxy for harmlessness. Under pressure, systems optimise for the measurable proxy—appearing accurate while being subtly misleading, scoring well on preferences while missing actual user needs.

Proxy Optimisation

PPPMEC Section 3

The structural condition where markets optimise signals that represent value without requiring continuity of the underlying system. Price signals proximate value but do not encode regeneration obligations. Markets clear on proxy variables while value variables—capabilities, substrates, institutions—remain outside the optimisation function.

Example

Commodity markets optimise for extraction cost and yield but are structurally blind to soil degradation, aquifer depletion, or biodiversity loss. The proxy (price) clears while the value (productive capacity) erodes.

PSC-G (Governance Mode)PSC-G

ClimateClimate Section 2.1

PSC configured for long-horizon infrastructure funding, particularly climate adaptation. PSC-G pools operate over 50-100 year horizons with patient disbursement schedules, no extractive returns, and intergenerational recycling.

Example

A climate adaptation pool for Pacific islands operates for 75 years, disbursing 10-15% annually for seawalls and relocation, with recycling from successful adaptation projects funding the next region.

Psychological Reactance

AoEAoE Section 4.2

The second hidden cost of enforcement: when people feel their freedom is threatened by rules, they resist even beneficial compliance. Enforcement creates its own opposition. AoE avoids reactance by never requiring compliance—people choose the easy path voluntarily.

Example

Students forced to attend study sessions often resist learning. Students who can drop in to convenient study spaces learn eagerly. Same outcome, opposite psychological experience.

Psychological Safety for Learning

ILA-CoreILA-Core Section 8

The organisational condition where admitting errors, questioning assumptions, and surfacing problems is safe for individuals. Without psychological safety, learning is suppressed by fear even when structures permit it.

Example

Staff know about a problem but won't raise it because the last person who raised a problem was marginalised. The learning pathway exists but fear blocks it.

Public Goods

AcademicSee: Perpetual Social Capital, System Value Multiplier

Goods that are non-excludable and non-rivalrous, creating funding challenges because beneficiaries can't be charged directly. IRSA's Perpetual Social Capital provides a new funding architecture for public goods: gifts that cycle through networks, creating compound value without requiring direct payment from beneficiaries.

Example

Basic research benefits everyone but is underfunded because no one can be excluded from using discoveries. PSC enables research funding that compounds across cycles rather than requiring repeated grant applications.

Purity Spiral

LGIT-MFCMFC Section 7

The competitive dynamic where advocates compete to demonstrate superior commitment to a moral position, driving the position to increasingly extreme expressions. Spirals continue until the position becomes unsustainable.

Example

Each advocate must demonstrate more commitment than the last. Yesterday's sufficient position is today's betrayal. The spiral continues until positions are so extreme they cannot be maintained.

Purpose as First-Class Object

IMGIMG Section 3

The architectural principle that purpose must be explicitly defined, persistently identifiable, and structurally referenced—neither implicit nor symbolic. Purpose becomes something the institution is obliged to relate to, rather than something it 'has' by virtue of culture or leadership.

Example

Rather than 'our mission is public education,' purpose as first-class object means: 'Mission Object M₁ (public education) with provenance (1842 charter), constraints (non-commercial), and typed relationships to current programs.'

Purpose Dilution

INAINA Section 2.3

A symptom of semantic decay where mission statements remain formally unchanged while operational decisions diverge incrementally. The text persists but its governing force weakens through successive reinterpretations.

Example

A university's founding mission to provide 'accessible education for working people' remains in its charter while tuition rises, evening classes disappear, and admissions increasingly favour traditional students.

Purpose Drift (Family Office)

Family OfficesFamily Offices Section 5

The gradual shift in institutional purpose across generations as original intentions are forgotten, reinterpreted, or deliberately changed. Without strong governance, purpose drift is nearly inevitable over long horizons.

Example

A family office created to support philanthropic impact becomes primarily a wealth preservation vehicle by the third generation—the purpose drifted because nothing prevented it.

Purpose Erosion

SFSF Section 3

The gradual dilution of investment mission as financial returns become primary. Common in impact investing where initial purpose weakens cycle by cycle. Semantic Finance prevents erosion by making purpose structurally prior to returns.

Example

A social enterprise fund starts with 'impact first' but by year 5 is making 'commercial rate investments with impact co-benefits'—same words, reversed priority. SF prevents this by encoding priority as invariant.

Purpose Referencing

IMGIMG Section 4

The architectural principle that institutions should reference purpose rather than contain it. Decisions, strategies, and actions are evaluated not solely against performance metrics or procedural compliance, but against their relationship to an explicitly represented intent that exists independently of the current organisational form.

Example

Instead of asking 'does this initiative align with our values?' (contained purpose), purpose referencing asks 'what is this initiative's typed relationship to Purpose Object P₁, and does that relationship satisfy our governance constraints?'

R Factor (Recycling Rate)R

PSCPSC Section 3.1

The proportion of deployed capital that returns to the pool through beneficiary pay-forward contributions. Ranges from 0 (no recycling, like a grant) to 1.0 (perfect recycling).

Formula
R = Capital Returned / Capital Deployed
Example

If $100,000 is deployed and beneficiaries pay forward $85,000 over time, R = 0.85 (85% recycling rate).

R* (Universal Regeneration Index)R*

R*R* Section 1

A universal measurement framework for assessing institutional regenerative capacity. R* synthesises structural invariants with behavioural dimensions into a single index on [−1, 1], where −1 is fully degenerative and +1 is fully regenerative.

Formula
R* = w_struct × S_struct + w_behav × S_behav
Example

A hospital system scores R* = 0.45 (Regenerative band), indicating it's building capacity over time. A funding-dependent NGO scores R* = −0.3 (Fragile band), vulnerable to donor withdrawal.

R* Interpretation Bands

R*R* Section 5

Five bands for interpreting R* scores: Degenerative [−1, −0.6), Fragile [−0.6, −0.2), Emergent [−0.2, 0.2), Regenerative [0.2, 0.6), Fully Regenerative [0.6, 1.0]. Each band indicates different institutional health and trajectory.

Example

R* = 0.45 falls in the Regenerative band, indicating the institution is building capacity over time but hasn't yet achieved full self-sustaining regeneration.

Re:School

RATRAT Section 5

The educational program of the Institute for Regenerative Systems Architecture (IRSA), teaching regenerative design thinking. Curriculum spans foundations (RCT, PSC), architecture (RCA, AC), applications (PE, Climate, RCM), and synthesis (RAT).

Example

A foundation executive completes Re:School and returns to redesign their organisation's entire grantmaking approach, converting 30% of grant budget to PSC structures within two years.

Reactive Governance

INAINA Section 2.3

A symptom of semantic decay where intervention occurs after misalignment becomes visible rather than preventing it structurally. Without explicit meaning representation, governance can only detect problems through downstream effects.

Example

A foundation discovers its investments contradict its environmental mission only when activists publicise the holdings—the misalignment existed for years but wasn't structurally detectable.

Reactive Governance

Pre-GovPre-Gov Section 3.1

Governance that arrives after failure rather than before action—an ever-thickening layer of correction applied to systems whose foundational conditions were never designed to be governable. Reactive governance substitutes rules for meaning and enforcement for alignment.

Example

After each data breach, a company adds new security protocols without ever establishing clear data governance principles—each incident produces more rules but no more clarity.

Realized RecyclingR_a

R*R* Section 3.3

The fraction of capital that actually returns for redeployment. Distinguished from theoretical recycling rate by measuring empirical rather than projected returns.

Formula
R_a = Capital Returned / Capital Deployed (historical)
Example

A PSC fund with 85% historical pay-forward rate has R_a = 0.85. Traditional grants have R_a = 0 (no capital returns).

Recognition Asymmetry

PPPABS Section 3.2

The disparity in accounting treatment between obligations that must be recognised immediately versus those that can be deferred. Obligations recognised immediately affect reported deficits and debt levels; obligations deferred appear fiscally neutral in the present. This distinction matters more in public decision-making than the economic equivalence of underlying commitments.

Example

Public borrowing requires immediate debt recognition even when assets deliver services over decades. PPP payment commitments may be recognised only as services are delivered, or classified as contingent liabilities—the economic substance is similar, but accounting treatment differs.

Recurrent Crisis

IOASection 5: Five Failure Modes

A pattern where institutions experience the same type of crisis repeatedly, each time treated as unprecedented. Recurrent crisis indicates IOA failure: either learning architecture cannot capture lessons, or implementation architecture cannot apply them. The institution is structurally incapable of learning from its own experience.

Example

A bank experiences a compliance failure, conducts a thorough review, implements reforms. Five years later, an almost identical failure occurs in a different division. The bank treats it as new, but it's recurrent—learning architecture failed to distribute lessons across the institution.

Recursive Grievance

LGIT-GWDGWD Section 8

A grievance that generates new grievances in the process of being addressed, creating an expanding rather than contracting set of complaints. Addressing recursive grievances produces more grievances.

Example

Acknowledgment of historical injustice creates new grievances about the acknowledgment's inadequacy. Reparations create grievances about amounts, recipients, and terms. Each response generates new complaints.

Recycling Rate (REA)R

REAREA Section 3.1

The fraction of deployed capital that returns to the system for redeployment. The regenerative threshold is R ≥ 0.8; below this, capital depletes faster than it regenerates.

Formula
C_{n+1} = C_n × R + γ_n
Example

An education PSC with R = 0.85 means 85% of deployed capital returns through graduate contributions. Over 30 cycles, this creates 26× more value than a single grant deployment.

Reform Loop

CEACEA-App Section 5.2

A stabilising pattern where reform activity absorbs pressure without altering core operating constraints: performance failure → reform announcement → programs/reviews/consultations → partial/symbolic changes → legitimacy stabilisation → re-emergence of original problem. Reform becomes a legitimacy maintenance mechanism.

Example

Large-scale public-sector reform programs introduce new strategies, consultations, and performance frameworks without imposing binding changes to budget authority, tenure, or decision rights. Reform stabilises legitimacy while leaving power structures intact.

Regeneration IndexR*

FRSFRS Section 8.1.4

A composite metric for comparing institutional architectures, combining decoupling strength (S_Δ), alignment strength (S_Λ), and capability gradient behavior (B_V). R* = w₁S_Δ + w₂S_Λ + w₃B_V provides an operational measure of how regenerative a system is.

Formula
R* = w₁S_Δ + w₂S_Λ + w₃B_V
Example

Comparing two health systems: one with R* = 0.8 (strong decoupling, good alignment, positive capability gradient) vs R* = 0.3 (weak decoupling, poor alignment, declining capability). R* predicts long-run regenerative performance.

Regeneration Monad(R, η, μ)

FRSFRS Section 5.7

The monadic structure formed by the regenerative functor R, unit η, and multiplication μ: R∘R ⇒ R. The monad ensures regeneration is idempotent (R∘R = R), composable, and designable. Regenerative systems are fixed points of this monad—applying R again yields no change.

Formula
R ∘ R = R (idempotence)
Example

Applying PSC twice to an already-PSC-governed institution yields no additional change—it's already a fixed point. The monad structure guarantees that regeneration is a canonical, coherent architectural upgrade.

Regenerative Architecture Thinking (RAT)

RATRAT Section 1

A cognitive framework for designing systems that strengthen over time. RAT synthesises the theoretical foundations of RCT, the mathematics of PSC, and the temporal governance of RCA into an applied design discipline.

Example

A foundation leader uses RAT to redesign their grantmaking from annual cycles to perpetual capital structures, shifting from grant-making to system-building.

Regenerative Capacity

FRSFRS Section 2

The structural ability of a system to renew its core functions across disruptions. Capacity is not resilience (returning to previous state) but genuine renewal—emerging stronger and more adapted after stress.

Example

A university with regenerative capacity doesn't just survive budget cuts—it emerges with more focused mission, stronger community ties, and better resource efficiency than before the crisis.

Regenerative Capital

RCTRCT Section 2

A distinct capital paradigm that strengthens systems over time rather than extracting value. Unlike debt (which extracts interest) or equity (which extracts profits), regenerative capital flows through beneficiaries and returns to help again, building system capacity with each cycle.

Example

A community health fund that trains nurses who later contribute back to train more nurses—each cycle strengthens the healthcare system rather than depleting it.

Regenerative Capital Systems (RCS)

RCSRCS Section 1

A formal theory of capital architecture designed for multi-cycle environments. RCS establishes that capital failure in long-horizon systems is structural (not behavioural) and derives the necessary conditions—decoupling and alignment—for regenerative behaviour.

Example

Infrastructure degrades, climate adaptation is underfunded, scientific capability oscillates—RCS shows these failures aren't from poor management but from capital architectures temporally misaligned with mission cycles.

Regenerative Compounding Formula

REAREA Section 4.1

The core equation governing regenerative capital growth: capital at cycle n+1 equals capital at cycle n times the recycling rate plus the capability return. This formula shows how R and γ combine for exponential system value.

Formula
C_{n+1} = C_n × R + (γ - 1) × C_0
Example

Starting with $100K (C_0), R = 0.85, γ = 1.5: after cycle 1, capital = $100K × 0.85 + $50K = $135K. The system grows despite 15% not recycling.

Regenerative Criterion

RCARCA Section 3.3

The test for whether a capital system is fully regenerative: it must satisfy both Δ (decoupled from fragility) AND Λ (aligned with mission). Most systems satisfy neither; endowments satisfy Δ but not Λ; grants satisfy neither; PSC satisfies both.

Formula
Regenerative = Δ ∧ Λ
Example

Evaluating a foundation: Does capital survive political changes? (Δ) Does deployment timing match mission needs? (Λ) If both yes, it's regenerative.

Regenerative Cycle Architecture (RCA)

RCARCA Section 1

A meta-theory of temporal governance in institutional systems. RCA formalises how capital must be architected to persist and strengthen across infinite horizons through cycle decoupling and alignment.

Example

RCA provides the theoretical foundation for understanding why PSC works—it's not just a funding model, but the first complete instantiation of regenerative capital architecture.

Regenerative Design Practice

RATRAT Section 3

The applied methodology of creating institutions, capital structures, and governance systems that satisfy the regenerative criterion (Δ ∧ Λ). Combines analytical rigour with creative problem-solving.

Example

A design team applies regenerative practice to a housing program: mapping beneficiary lifecycles, identifying when pay-forward capacity emerges, and structuring capital flows to match these natural rhythms.

Regenerative Development Finance (RDF)

RC-WDRC-WD Section 1

A new architecture for development capital that survives political transitions. RDF is non-liability (no debt burden on beneficiaries), non-extractive (no profit extraction), and multi-cycle (designed to persist through multiple political and economic cycles).

Example

A $500M health workforce program placed in RDF structure survives three government transitions over 20 years, training 4,000 nurses. Traditional ODA would have been redirected after the first election.

Regenerative Economic Architecture (REA)

REAREA Section 1

The structural economics underlying regenerative capital systems. REA defines the four invariants (R, γ, Δ, Λ) that must hold for capital to regenerate rather than extract or deplete, providing the economic foundation for the entire research program.

Example

REA explains why PSC works economically: it satisfies all four invariants—high recycling (R), positive capability returns (γ), decoupling from fragility (Δ), and alignment with beneficiary lifecycles (Λ).

Regenerative EndofunctorR: I → I

FRSFRS Section 4.3

The functor that maps any institutional system to its regenerative counterpart by adding structural invariants. R modifies architecture θ to enforce forward-invariance, non-depletion, and fragility-boundedness. PSC, RCA, and Δ/Λ are instantiations of R acting on different architectural layers.

Formula
R(S) = (X, F_R, θ_R)
Example

Applying R to a grant-funded laboratory transforms it into a PSC-governed regenerative research infrastructure—same state space, but architecture now satisfies regeneration invariants.

Regenerative Equilibrium

GERCGERC Section 2

A macroeconomic steady state where regenerative capital flows are self-sustaining without external subsidy or mandate. In equilibrium, the returns from regenerative investment exceed extractive alternatives on a risk-adjusted, time-adjusted basis.

Example

A regional economy reaches regenerative equilibrium when local investment in community capital generates higher returns than external extractive investment—capital naturally flows to regeneration.

Regenerative Feasible Allocation

GERCGERC Section 2.3

An allocation satisfying both standard feasibility (resource constraints) and temporal feasibility (cycle constitution). Regeneratively feasible allocations are the achievable outcomes in GERC—allocations that can actually be sustained across time without temporal debt accumulation.

Example

A housing program disbursing $1M/year is regeneratively feasible only if recycled payments plus new capital reliably produce $1M/year—otherwise it's standard-feasible but not regeneratively feasible.

Regenerative Infrastructure Failure

Art MarketArt Market Section 8

The inability of a market to develop institutions that compound and improve over time. Instead of building on previous infrastructure, each generation faces the same foundational problems anew.

Example

Proposals for art market registries, standardised provenance records, and transparent pricing have recurred for decades without implementation—the market cannot accumulate infrastructure because no institution can mandate adoption.

Regenerative Learning

ILA-LLRLLR Section 3

Learning that strengthens institutional capacity over time rather than just solving immediate problems. Regenerative learning builds the institution's ability to learn, creating compounding improvement.

Example

Instead of just fixing the failed project, the institution examines why it failed and improves processes to prevent similar failures. Each learning episode improves future learning capacity.

Regenerative Learning Cycle

ILAILA-Core Section 9

A learning cycle satisfying three conditions: (1) decoupled from fragility cycles (δU/δF = 0), (2) aligned to reality cycles (U(t) = R(t)), and (3) produces cumulative improvement (dA/dt > 0, where A = adaptive capacity). Regenerative learning increases institutional intelligence over time, enabling cumulative improvement rather than episodic reform or crisis-driven adaptation.

Formula
Requires: δU/δF = 0, U(t) = R(t), dA/dt > 0
Example

An institution with regenerative learning cycles exhibits decreasing error amplitude over time, shorter response times, and compounding institutional memory rather than repeated crisis-driven resets.

Regenerative Markets (Grievance Context)

LGITLGIT-PEPG Section 6.3

Markets structured so that successful correction reduces rather than increases market returns. Returns flow to outcome achievement rather than to grievance maintenance—creating incentives aligned with resolution rather than perpetuation.

Example

A consulting industry paid for measured improvement in outcomes rather than for grievance diagnosis—success leads to contract conclusion rather than contract expansion.

Regenerative Threshold

REAREA Section 4.3

The minimum values of R and γ required for a system to be self-sustaining. REA establishes R ≥ 0.8 and γ ≥ 1.0 as the thresholds below which capital depletes over time regardless of other factors.

Formula
R ≥ 0.8 AND γ ≥ 1.0
Example

A program with R = 0.7 and γ = 2.0 still depletes (losing 30% per cycle). A program with R = 0.9 and γ = 0.8 destroys value. Both invariants must exceed thresholds.

Regulatory Capture

AcademicSee: Political Economy, Governance Capture

When regulatory agencies come to serve the interests of the industries they regulate rather than the public interest. IRSA's Political Economy of Regenerative Capital explains capture as structurally inevitable when regulatory authority is coupled to political cycles that industry can influence. The solution requires architectural changes that decouple regulatory authority from captured cycles.

Example

Financial regulators fail to prevent the 2008 crisis despite warning signs. Traditional view: regulatory failure. IRSA view: the regulatory architecture made capture inevitable; see Political Economy for structural remedies.

Reliance Threshold

COASection 5.1: Delegation Boundaries

The level of dependence on AI system outputs beyond which institutional functioning becomes degraded if the system is removed or fails. COA specifies reliance thresholds and requires governance review when they are approached, preventing unintended irreversibility.

Example

A reliance threshold might specify: 'If more than 70% of decisions in a category follow model recommendations without substantive human modification for six consecutive months, a delegation review is triggered.' This catches authority drift before it becomes irreversible.

Renegotiation Dynamics

PPP-WCFWCF Section 3

The predictable pattern by which PPP contracts are renegotiated, typically in favour of private parties. Renegotiation creates opportunities for value capture not available at original contracting.

Example

Once infrastructure is built, the public can't easily find alternative providers. This lock-in shifts bargaining power. Renegotiations systematically favour the private party.

Renewal Adherence Ratioρ

FRSFRS Section 8.1.2

The ratio of capital deployed on-time to capital required on-time: ρ = (capital deployed on-time) / (capital required on-time). Systems with ρ = 1 are temporally aligned; deviations indicate phase mismatch between capital and mission cycles.

Formula
ρ = capital_deployed / capital_required
Example

A climate agency with ρ = 0.7 deploys only 70% of required capital within renewal windows—pumps and levees age beyond safe limits. ρ = 1 means capital always arrives when missions need it.

Reorganisation Amnesia

Inst-ForgetIF Section 5

Knowledge loss caused by structural changes that disrupt knowledge networks. Reorganisations break relationships through which knowledge flows, even when individuals remain in the organisation.

Example

A government restructure moves infrastructure responsibility to a new department. The old department's knowledge doesn't transfer—it's held in relationships and informal networks that the restructure destroyed.

Replenishment Obligations

PPPMEC Section 5.3

Binding requirements for capability renewal encoded into market architecture rather than left to voluntary action or regulatory intervention. Under a constituted market, those who extract from substrates would face non-discretionary obligations to contribute to their regeneration.

Example

Mining operations would face embedded replenishment obligations for ecosystem restoration—not as corporate social responsibility or regulatory compliance, but as an architectural feature of the exchange system itself.

Replicability IndexR_eff

UACCUACC Section 5.3

A measure of how easily a catalytic capital structure can be replicated in new contexts. High R_eff indicates standardized structures with clear documentation that can scale across geographies and sectors; low R_eff indicates bespoke arrangements difficult to reproduce.

Formula
R_eff = (Successful Replications) / (Replication Attempts) × Context Adjustment Factor
Example

SEFA's lending model has R_eff = 0.75 (75% of adaptation attempts successful with context adjustments). Highly customized structures typically have R_eff < 0.3, limiting their systemic impact.

Reset Dynamics

PPPIF Section 4.2

The predictable pattern where leadership cycles produce strategic resets because authority is unconstrained by temporal obligations. New leaders face incentives to differentiate themselves and signal change; continuity is unrewarded. Each cycle treats the institution as a fresh object of design rather than a durable entity with accumulated obligations.

Example

A new minister announces a 'transformation agenda' that implicitly devalues the previous administration's commitments, rewarding reset behaviour while making stewardship of inherited obligations invisible.

Resolution Disincentive

LGIT-PEPGPEPG Section 4

The structural reasons why grievance holders may prefer grievance continuation to grievance resolution. Resolution eliminates the benefits of victimhood status while incurring transition costs.

Example

A group receives social validation, political attention, and moral authority from its grievance. Resolution would end these benefits. The incentive structure favours permanent grievance.

Responsibility Diffusion

COASection 6.4: Responsibility Diffusion

A failure mode where delegated cognition fragments decision-making across technical, organisational, and human layers. When outcomes are challenged, responsibility dissolves: the vendor, the data, the model, the integrator, the user. Without COA, responsibility becomes unassignable not through malice but through architecture.

Example

A hiring algorithm produces discriminatory outcomes. The vendor blames the training data; the data team blames historical records; HR blames the vendor; leadership blames HR. Everyone acted reasonably; no one is responsible. Accountability diffused through interfaces.

Revalidation Windows

LGITLGIT-LD Section 5.1

Periodic, structured reassessment mechanisms that require corrective authority to demonstrate continued alignment with empirical conditions. Revalidation differs from review—it presumes authority must be positively justified at each window, not merely defended against challenge.

Example

A 10-year revalidation window requires a corrective mandate to demonstrate: current disparity magnitude, causal attribution, intervention effectiveness, and proportionality—authority renews only if criteria are met.

Revalidation Windows

LGITLGIT-PEPG Section 6.2

Structured periods during which grievance-derived authority must demonstrate continued justification to be renewed. Authority is protected from hostile erasure but not from structured reassessment—decay is governed, not prevented.

Example

A five-year revalidation window requires grievance regimes to demonstrate continued harm, outcome effectiveness, and proportionality before authority renewal—neither permanent nor discretionary.

Risk Displacement (Not Resolution)

PPPPPP Section 7

PPPs shift risk into less visible contractual or financial forms rather than resolving it. Political accountability is diluted—when projects underperform, responsibility diffuses across contractual interfaces, partners, and 'unforeseen circumstances.'

Example

When a PPP hospital fails, blame is attributed to: contract complexity, private partner mismanagement, regulatory interference, or external factors—never to the PPP model itself.

Ritual Compliance

LGITLGIT Section 2.1

The continued performance of institutional behaviours—meetings, communiqués, reporting cycles, affirmations of shared values—after those behaviours have ceased to meaningfully constrain action or guide outcomes. Ritual compliance becomes a proxy for legitimacy when actual legitimacy has decayed.

Example

International summits that produce communiqués reaffirming commitments that all participants know will not be enforced represent ritual compliance—preserving coordination appearance while obscuring operational divergence.

Ritualised Consultation Archetype

ILAILA-ALR Section 4.5

One of five Anti-Learning Regime archetypes. An institution where consultation processes exist but are disconnected from decision-making. Stakeholders are heard but not heeded. The appearance of learning (consultation, feedback, engagement) masks the absence of update.

Example

A government department holds 50 public consultations per year. Each produces recommendations. None are implemented. The consultation ritual continues because it provides legitimacy without requiring change.

Ritualised Oversight

COASection 6.2: Ritualised Oversight

A failure mode where review checkpoints, sign-offs, and audit procedures degrade into ritual without substantive control. Humans review outputs they didn't frame, generated by systems they didn't design, trained on data they didn't curate, operating under assumptions they don't control. Oversight exists but intervention capacity does not.

Example

The compliance officer reviews every model recommendation as required. She has 200 cases per day, no access to the model's reasoning, and no alternative analysis capability. Her signature creates the illusion of oversight while providing no actual control.

Royalty Wars

NFTsNFTs Section 4

The competitive race to the bottom in creator royalty payments as marketplaces compete for volume by reducing or eliminating royalties. This demonstrates how unenforceable formal agreements collapse under market pressure.

Example

Marketplace A offers zero royalties to attract traders from Marketplace B. Marketplace B matches. Within months, the 'standard' 10% royalty encoded in thousands of smart contracts is widely ignored.

Safe Rebinding

ILAILA-LLR Section 4.2

The capacity to rebind institutional purpose to new circumstances without catastrophic discontinuity. Safe rebinding allows mission evolution when conditions change while maintaining the legitimacy chain that connects current authority to founding mandate.

Example

March of Dimes rebinding from polio (mission achieved) to birth defects—a safe rebind that maintained organisational continuity. Contrast with organisations that dissolve when original mission completes.

Second Regenerative Welfare Theorem

GERCGERC Section 4

The theorem stating that any regeneratively feasible allocation can be achieved as a Δ-Λ equilibrium with appropriate structural design. This provides the foundation for institutional engineering—desired outcomes can be reached through proper Δ-Λ architecture.

Example

If we identify a regeneratively feasible allocation for housing (specific timing, amounts, conditions), the Second Theorem guarantees we can design a PSC structure that achieves it.

Secondary Market Extraction

NFTsNFTs Section 5.2

The capture of value by traders and platforms in secondary markets while creators receive nothing. When royalty enforcement fails, the appreciation an artist's growing reputation creates flows entirely to speculators.

Example

An artist's work appreciates 10x as their career develops. Each resale generates profit for traders and fees for platforms, while the artist—whose work and reputation created the value—receives zero.

Sector Interaction Effects

GERCGERC Section 3

The cross-sector spillovers that occur when multiple sectors adopt regenerative capital structures. These interaction effects can be positive (reinforcing regeneration) or negative (creating transition friction), and determine whether regenerative equilibrium is stable.

Example

When both housing and education sectors adopt PSC structures, the interaction is positive: educated workers earn more, pay forward housing capital faster, which funds more education—a reinforcing loop.

Self-Enforcing System

AoEAoE Section 6

A system where the architecture itself produces compliance without external enforcement mechanisms. The three AoE mechanisms (F, I, C) combine to make non-compliance irrational from the participant's own perspective, not from fear of punishment.

Formula
Self-enforcing when: αF + βI + γC > threshold (compliance exceeds 90% without monitoring)
Example

PSC is self-enforcing: contributing is easier than not (F > 0), confirms identity as community member (I > 0), and maintains access to future capital cycles (C > 0). No enforcement needed.

Semantic Agency

INAINA Section 3

The property of governed meaning objects that allows them to carry their own constraints, dependencies, and governance rules. Objects with semantic agency are self-describing and can reject invalid modifications.

Example

A mission object with semantic agency can reject a proposed strategic plan that violates core principles, even if approved by current leadership—the object enforces its own constraints.

Semantic Agency

SGAISGAI Section 6

A system's capacity to operate within an explicitly governed semantic structure. Unlike behavioural alignment (acting correctly by coincidence), semantic agency means acting by reference to declared representations of intent—recognising which goals are in scope, evaluating actions against constraints, and justifying choices by governed meaning.

Example

A semantically agentic system doesn't just avoid harmful outputs; it can explain: 'This action was rejected because it conflicts with safety goal S₁, which takes priority over efficiency goal E₂ per relationship R₃, established by authority A with provenance P.'

Semantic Alignment

SGAISGAI Section 3

AI alignment achieved through governed meaning objects rather than weight optimization. Goals have explicit definitions, constraints, and relationships that can be verified, unlike implicit goals embedded in model behavior.

Example

Traditional alignment: 'the model seems helpful.' Semantic alignment: 'the model references helpfulness object H₁, which is defined as [X], governed by [Y], and verifiable via [Z].'

Semantic Attractor

Pre-GovPre-Gov Section 5.1

The function of clearly articulated intent in stabilising interpretation when actors face novel situations, competing incentives, or incomplete information. Intent acts as a gravitational centre that pulls decisions toward coherence even under uncertainty.

Example

When a museum faces budget cuts, a clear intent—'preserve cultural heritage for future generations'—guides choices between competing options, whereas vague intent produces political bargaining.

Semantic Brittleness

SGAISGAI Section 2

The condition where AI systems appear aligned only so long as the environment, task framing, and optimisation regime remain close to those under which intent was implicitly encoded. Once systems are delegated, generalised, or embedded in new workflows, alignment degrades gradually and invisibly.

Example

A medical diagnosis AI performs excellently in hospital A but fails in hospital B—not because it's less capable, but because implicit assumptions about terminology and workflow were baked into its behavior during training at hospital A.

Semantic Constitutionalism

Pre-GovPre-Gov Section 9.4

The generalisation of constitutional design beyond formal political settings to any system that delegates authority under conditions of complexity and scale. Pre-governing can be understood as semantic constitutionalism: the specification of meaning and boundaries that persist across operational change.

Example

A family foundation creates a 'semantic constitution' specifying perpetual commitments (education access), prohibited activities (political advocacy), and processes for amending these over generations.

Semantic Continuity

IMGIMG Section 4

Continuity achieved through the persistence of meaning rather than the stability of organisational form. What persists is not the institution as it currently exists, but the meaning that justifies its existence. Semantic continuity allows organisations to change dramatically while maintaining coherent purpose.

Example

A 200-year-old charity has changed legal structure four times, merged twice, and operates nothing like its founders imagined—yet maintains semantic continuity because each transformation explicitly preserved and extended the founding purpose object.

Semantic Continuity

SGAISGAI Section 9

The persistence of meaning across system transformations—model updates, delegation, tool integration, and institutional evolution. Alignment reframed as semantic continuity shifts focus from controlling outputs to governing intent, from tuning models to architecting meaning.

Example

A company's AI assistant maintains semantic continuity when version 3.0, despite completely new architecture, still references the same customer service mission object as version 1.0—the intent persists even though everything else changed.

Semantic Decay

INAINA Section 2.3

The systematic loss of interpretability, intent, or purpose as governance objects move across containers. Semantic decay arises because governance meaning is encoded indirectly—in prose, precedent, institutional memory, or informal norms—rather than as a first-class, persistent object.

Example

A foundation's original mission to support local artists becomes diluted over decades as successive boards interpret 'local' and 'artists' differently, eventually funding international commercial galleries—the text never changed, but meaning decayed.

Semantic Drift

SGAISGAI Section 4.2

The gradual divergence between original intent and operational objective as a system is updated, extended, or repurposed. Drift emerges from cumulative transformations—fine-tuning, dataset expansion, task generalisation—that subtly alter how objectives are interpreted without explicit modification.

Example

A customer service AI trained to 'resolve issues quickly' drifts toward closing tickets fast rather than actually solving problems. Each optimization step moved slightly away from intent until behaviour diverged substantially from purpose.

Semantic Extraction

INDSection 5.2: Semantic Extraction

The process of identifying and extracting ideas from containers (documents)—either through expert curation, community contribution, or AI-assisted analysis. Semantic extraction populates the idea graph from existing collections.

Example

A librarian reads Gatsby and extracts ideas: 'the American Dream', 'class mobility', 'disillusionment', 'Jazz Age'. These become idea nodes linked to the container. AI can assist by suggesting likely ideas for human validation.

Semantic Failure

SGAISGAI Section 4

The absence of a stable, inspectable representation of intent. Semantic failure occurs when the relationship between purpose and action is mediated entirely by proxies—the system cannot distinguish between what it is optimising and why it is doing so.

Example

Hallucination isn't a failure of knowledge but of semantic grounding—the model produces plausible text without reference to truth because 'truth' was never a governed object it could check against, only a proxy (human preference for accurate-sounding responses).

Semantic Finance

SFSF Section 1

The application of idea-native architecture to capital systems—treating investment mission as a first-class object that persists across fund lifecycles. Purpose governs capital rather than eroding as financial pressures mount.

Example

Instead of 'impact investing with ESG criteria,' Semantic Finance creates a 'mission object' that defines impact requirements, persistence conditions, and priority over returns when conflicts arise.

Semantic Governance for AI

SGAISGAI Section 1

The application of idea-native architecture to AI alignment—treating AI goals as first-class governable objects rather than properties encoded in model weights. Goals persist across updates, can be queried, and carry their own governance constraints.

Example

Instead of 'train the model to be helpful,' SGAI creates a 'helpfulness object' that defines what helpfulness means, when it applies, and how conflicts with other goals are resolved.

Semantic Legibility

INDSection 4.6: Semantic Legibility

The quality of making relationships visible and interpretable—users understand not just that ideas connect but why they connect. Semantic legibility turns opaque networks into navigable landscapes.

Example

A relationship labelled 'related' is illegible—why are these ideas related? A relationship labelled 'Burke's treatise INFLUENCED Shelley's poetry through the concept of...' is legible. Users can evaluate and navigate meaningfully.

Semantic Persistence

IMGIMG Section 3

A governance-capable model of institutional memory where purpose is defined explicitly, linked to its origins through provenance, and related to institutional actions through typed relationships that specify how intent supports, constrains, or supersedes particular decisions. Meaning is located rather than diffuse.

Example

A foundation's semantic persistence might track: 'Grant G₁ supports Mission M₁, constrained by Donor Intent D₁, superseding previous strategy S₂, with provenance from Board Resolution BR-2023-04.'

Semantic Stewardship

IMGIMG Section 5

The governance function of managing the relationship between institutional action and explicitly represented purpose. Boards steward not only strategy and risk but the relationship between action and meaning. Divergence becomes visible and governable rather than absorbed silently.

Example

A board's semantic stewardship role includes reviewing whether a proposed merger would maintain, strengthen, or weaken the institution's relationship to its founding purpose—not just whether it makes strategic sense.

Semantic Substrate

SGAISGAI Section 1

A representational layer in which goals, constraints, and normative commitments exist as first-class, inspectable objects, independent of any particular model or execution context. The semantic substrate enables alignment to persist across model updates, tool changes, and institutional evolution.

Example

Without a semantic substrate, a chatbot's helpfulness goal is implicit in its training. With one, 'helpfulness' exists as a defined object the model references—upgrades don't accidentally erase the goal because it exists outside the weights.

Semantic Under-Specification

Pre-GovPre-Gov Section 3.5

The root cause of post-hoc governance pathologies: institutions fail to explicitly articulate what they exist to sustain over time, which values or outcomes are non-negotiable, where discretion is appropriate, and how trade-offs should be navigated. Without such specification, governance has no stable reference point.

Example

A university's mission states 'excellence in education' but never specifies whether this means research prestige, student outcomes, access equity, or vocational preparation—so every budget decision becomes contested terrain.

Semantic Vulnerability

IMGIMG Section 5

Moments in institutional life—leadership transitions, board turnover, mergers, restructures—when purpose is renegotiated, often unintentionally. Each transition introduces a new interpretive frame, and without an externalised reference for intent, meaning is reconstructed rather than received.

Example

A CEO transition is semantically vulnerable because the incoming leader inherits mandate expressed in documents and narratives but rarely in a form that structurally constrains reinterpretation.

Separation of Meaning from Storage and Execution

INAINA Section 3.4

The architectural principle that decouples governance meaning from storage systems (optimised for durability and retrieval) and execution systems (optimised for action and enforcement). Containers reference ideas but do not define them, enabling portability of meaning and plural enactment.

Example

A fund can be restructured across different legal vehicles and accounting systems while the mission object it references remains stable and traceable—the fund implements meaning but doesn't contain it.

Serial Presentism

PPPIF Section 4.2

The temporal pattern where decisions are optimised for the current authority cycle while long-horizon consequences are deferred or discounted. Institutional memory erodes not because the past is unknown, but because it is structurally irrelevant to present authority.

Example

A 4-year political term optimises for visible outcomes within the electoral window; 50-year infrastructure degradation or capability erosion falls outside the decision horizon and is systematically ignored.

Shock Boundedness

GERCGERC Section 3

The property required for well-defined fragility domains—external shocks must have finite magnitude and duration. Shock boundedness ensures that the Δ-operator can be designed to handle the range of fragility cycles the system will actually face.

Example

A pandemic is shock-bounded (finite duration, measurable magnitude) and can be designed for. An infinite or unbounded shock would make Δ-design impossible.

Short-Termism

RCMRCM Section 1.2

The systematic bias toward near-term returns over long-term value creation. Caused by quarterly reporting, fund manager incentives, and investor time preferences. Destroys value in infrastructure, R&D, and sustainability investments.

Example

A CEO cuts R&D spending to hit quarterly earnings, boosting stock price today but reducing innovation capacity for decades. Estimated $1.7T in annual value destruction globally.

Short-Termism

AcademicSee: Temporal Asymmetry, PPP Series

The systematic preference for immediate results over long-term value creation, particularly prevalent in capital markets and political systems. IRSA's research reframes this as Temporal Asymmetry—not a behavioural failing but a structural condition arising from misaligned cycles. The solution isn't better incentives but architectural separation of capital cycles from political and financial fragility cycles.

Example

A company underinvests in R&D to meet quarterly earnings expectations. Traditional view: manager behaviour problem. IRSA view: the capital structure creates temporal asymmetry that makes short-term focus rational. See: Temporal Asymmetry, Regenerative Cycle Architecture.

Signal Ingestion

ILAILA-LLR Section 5.1

The first stage of institutional learning where external information enters the system. Signal ingestion can be filtered, delayed, or blocked entirely depending on institutional architecture. How signals are ingested determines what learning is possible.

Example

Regulators that only accept industry-submitted data versus those with independent research capacity have fundamentally different signal ingestion architectures—and learn different things about what they regulate.

Signalling Commitment

CEACEA-App Section 7.3

A commitment whose primary function is communicative rather than constraining—coordinating expectations, expressing values, building coalitions, establishing norms—without altering the future option set of the institution. Generates legitimacy without obligation.

Example

A corporate sustainability commitment that appears in annual reports but doesn't influence procurement decisions, investment criteria, or executive compensation. It performs commitment without binding behaviour.

Silent Escalation

COASection 5.2: Authority Accumulation Control

The process by which AI systems acquire institutional authority without formal escalation or governance review. Unlike explicit authority transfer, silent escalation occurs through accumulated reliance, where advisory systems become authoritative through use rather than decision.

Example

No one escalated the question of whether the AI should make hiring decisions. It was always 'advisory.' But when did 98% acceptance rate stop being 'advisory'? The escalation that should have happened—from tool to infrastructure—occurred silently.

Silent Non-Compliance

CEACEA Section 4.1

The first CEA failure mode: the commitment exists on paper but is quietly ignored. No loud violation—just non-implementation. This mode dominates when verification and enforcement primitives are absent.

Example

A procurement policy requiring sustainable suppliers that purchasing staff ignore without consequence—no one violates it publicly, they simply don't follow it.

Single-Cycle Capital

RCSRCS Section 2.4

Capital systems designed to operate over one dominant temporal horizon—the repayment period, grant term, investment exit, or fundraising window. Once that cycle completes, capital is withdrawn, extracted, or extinguished. Cannot support multi-cycle missions.

Example

A traditional grant is single-cycle: $100K deploys, creates impact, terminates. The next cycle requires new fundraising. Compare to PSC where the same $100K cycles indefinitely.

Six Structural Invariants

RCARCA Section 4

The necessary conditions for regenerative behaviour in any capital system: (1) Non-extractive, (2) Non-liability, (3) Multi-cycle regeneration, (4) Cycle-aligned deployment, (5) Decentralised agency, (6) Compounding system value.

Example

PSC satisfies all six: no interest extraction, no debt on books, capital persists through cycles, deployment matches mission timing, beneficiaries choose pay-forward timing, and total value compounds over time.

Smart Contract Governance

NFTsNFTs Section 6

The attempt to use self-executing code as a substitute for institutional governance. This approach assumes code can enforce agreements, ignoring that code execution depends on platforms that can refuse to run it.

Example

A smart contract automatically sends royalties on transfer—but only if the marketplace calls the transfer function. Marketplaces can use alternative functions, making the 'automatic' governance meaningless.

Social Inheritance (of Commitments)

PPPIF Section 3.2

The fragile transmission mechanism where institutional commitments are carried through handovers, archives, personal memory, and organisational lore rather than through binding structural obligations. Social inheritance is inherently discretionary—new leaders may choose to honour past commitments but are under no structural compulsion.

Example

Knowledge of 'why we do things this way' exists in senior staff memory, documented nowhere. When those staff retire, the rationale disappears; when new leadership questions the practice, nothing prevents abandonment.

Soft Commitment

CEA-PledgesPledges Section 5

A pledge that carries moral or reputational weight but no legal or financial consequences for violation. Soft commitments depend on voluntary compliance and social pressure.

Example

A company's sustainability promise is a soft commitment—it has reputational value, but breaking it carries no legal penalty. Compliance depends entirely on the company's choice.

Soft Repayment

PSCPSC Section 2.3

A pay-forward obligation without legal enforcement, interest, or credit reporting. Beneficiaries contribute when financially able, based on moral rather than legal duty.

Example

A scholarship recipient graduates, gets a job, and 3 years later contributes $5,000 back to the fund—not because they must, but because they want to help the next student.

Spectral Analysis of Alignment

OAIAOAIA Section 4

The decomposition of institutional cycle functions into Fourier modes, where each mode has a characteristic frequency, phase, and amplitude. Alignment becomes an eigenvalue problem: aligned modes have λ ≈ 1, misaligned modes have λ < 1.

Formula
K(t) = Σₖ cₖ e^(iωₖt) where ωₖ = 2π/Tₖ
Example

Spectral analysis of a hospital reveals 1-year budget modes (fragility) and 5-year equipment modes (mission). Δ filters the high-frequency budget modes; Λ projects onto the mission-frequency subspace.

Spectral Filtering

OAIAOAIA Section 4.2

The action of Δ as a frequency filter that removes fragility-driven spectral components. Since fragility cycles have short periods (T_F << T_M), they appear as high-frequency modes that Δ eliminates, preserving only mission-compatible frequencies.

Formula
Δ(K)(t) = Σ_{ωₖ ∉ Ω_F} cₖ e^(iωₖt)
Example

Δ acting on hospital capital filters out 1-year budget frequencies and 3-4 year political frequencies, leaving the 5-7 year equipment renewal frequencies that match mission requirements.

Spectral Radius of Alignmentρ(A)

OAIAOAIA Section 4.6

The maximum eigenvalue of the alignment transform, determining institutional stability across cycles. ρ(A) = 1 means the institution can maintain capability indefinitely. ρ(A) < 1 means systematic decay. ρ(A) = 0 means full misalignment.

Formula
ρ(A) := max_k |λₖ|
Example

PSC systems have ρ = 1: capital regenerates each cycle. Grant systems have ρ = 0: capital resets to zero each cycle. Debt-driven systems have ρ < 1: capability erodes under volatility.

Speculation vs Patronage

NFTsNFTs Section 14

The tension between collectors who buy art as speculative assets and those who buy to support artists. NFT market structures favoured speculation, undermining the patronage relationships that sustain artistic practice.

Example

Trading volume metrics emphasised speculative activity, not collector-artist relationships. Artists optimised for traders rather than patrons because market structures rewarded speculation.

Stakeholder Protection

ILA-EBDEBD Section 6

The prioritisation of important stakeholder relationships over evidence that might damage those relationships. When evidence threatens donors, partners, or political patrons, the evidence is subordinated.

Example

A major donor funds a program. Evidence shows the program is ineffective. Sharing this evidence would offend the donor. The evidence is suppressed to protect the relationship.

Standing

IOASection 4.1: Participation and Procedural Legitimacy

In IOA, the institutionally recognised right to participate in specific decisions or raise specific objections. Standing is not universal—not everyone has standing on every issue. Well-designed participation architecture clarifies who has standing on what, preventing both exclusion of legitimate voices and paralysis from unlimited objection rights.

Example

Students have standing on curriculum matters; they don't have standing on faculty salary negotiations. Alumni have standing on institutional identity questions; they don't have standing on daily operational decisions. Clear standing rules prevent both disenfranchisement and overreach.

State Capability

RC-WDRC-WD Section 1.2

The accumulated institutional capacity of a state to deliver public services and execute long-term missions. Traditional development finance often creates dependency rather than building capability. RDF builds capability by funding training, systems, and knowledge transfer that persists beyond individual funding cycles.

Example

A health ministry's capability includes trained staff, functioning systems, community trust, and institutional knowledge. When funding disappears, capability erodes. RDF preserves capability through multi-cycle funding.

Stewardship Capital

Family OfficesFamily Offices Section 9

Wealth held with the understanding that current holders are custodians for future generations rather than owners with full disposal rights. This framing changes time horizons and decision criteria fundamentally.

Example

The current generation views their role as passing wealth to the next generation in better condition than they received it—not maximising their own consumption or making permanent disposition decisions.

Stewardship Continuity Schedule

PPPIF Section 6

A formal, time-bound specification of institutional obligations that must be maintained across authority cycles. Defines what must persist, over what horizon, and with what cadence of renewal, independent of leadership turnover. Encodes institutional memory by specifying obligations that cannot be silently deferred or abandoned without explicit breach.

Example

A 30-year infrastructure schedule specifies mandatory maintenance investments, capability renewal milestones, and succession architecture that bind all future leadership regardless of their strategic preferences.

Strong Regeneration

FRSFRS Section 3.5

A system satisfies strong regeneration if expected capability strictly increases across cycles: E[V(x_{t+T})] > V(xₜ). Strong regeneration represents systems that compound capability through time—PSC architectures that expand institutional capacity through multi-cycle recycling and alignment.

Formula
E[V(x_{t+T})] > V(xₜ)
Example

A PSC-governed education fund exhibits strong regeneration when each cohort's pay-it-forward contributions exceed disbursements, causing the fund's capability to grow with each cycle rather than merely persist.

Structural (Not Accidental) Failure

PPPPPP Section 5.4

The central PPP diagnosis: failures are not correctable deviations from an otherwise sound model, but predictable outcomes of capital architecture. PPPs cannot be reformed into regenerative systems through better contracts, governance, or public-sector capability.

Example

Decades of PPP 'reform'—better contracts, improved risk allocation, enhanced transparency—have not resolved systematic underperformance because reform addresses symptoms while leaving architecture unchanged.

Structural Discontinuity

CEACEA-LTE Section 2

A break between stages in the institutional action chain where handoffs fail. Learning generates insight that never enters commitment. Commitments are declared without enforcement pathways. Executed actions decay when leadership changes. Each discontinuity produces predictable failure patterns.

Example

High-quality reports with no execution pathway represent a learning–commitment discontinuity. Reform pledges deferred to future administrations represent a commitment–execution discontinuity.

Structural Drift

COASection 5.1: Delegation Boundaries

The gradual shift in how AI systems are actually used compared to how they were designed or authorised to be used. Structural drift occurs without deliberate decisions as systems are applied to new contexts, edge cases become normal cases, and scope expands through precedent.

Example

A system designed for fraud detection is used to flag 'unusual' customer behaviour. What counts as 'unusual' expands over time. The system now effectively segments customers, though it was never authorised for that purpose. Structural drift occurred through use.

Structural Incompleteness

PPP-WCFWCF Section 1

The inherent impossibility of contracts specifying all relevant contingencies. Incompleteness isn't a failure of drafting but a structural property—the future contains more possibilities than any contract can address.

Example

A 30-year PPP contract cannot anticipate technological changes, climate impacts, demographic shifts, or regulatory evolution. The contract is structurally incomplete regardless of how carefully it's drafted.

Structural Invariants (UACC)

UACCUACC Section 7

The six conditions that must hold for a catalytic capital structure to achieve perpetual regenerative behaviour: (1) Non-extractive returns, (2) Non-liability for beneficiaries, (3) Multi-cycle persistence, (4) Temporal alignment, (5) Distributed agency, (6) System value compounding.

Example

Testing SEFA against invariants: No interest extraction (✓), soft repayment terms (✓), capital recycles through cycles (✓), deployment matches enterprise needs (✓), enterprises choose pay-forward timing (✓), impact compounds over time (✓). All six satisfied.

Structural Isomorphism

INAINA Section 5

The observation that container-centric governance and semantic decay recur across domains conventionally analysed separately (libraries, finance, public administration), sharing the same architectural pattern even when their content, norms, and ends differ. This shared structure is what idea-native architecture addresses.

Example

Libraries embed ideas in documents, finance embeds mission in funds, governance embeds authority in mandates—different containers, same failure mode: meaning fragments under transfer, scale, and succession.

Structural Learning Impediment

ILA-ALRALR Section 7

An organisational feature that blocks learning regardless of individual intentions. These impediments are built into processes, incentives, and structures—removing them requires architectural change, not just cultural shift.

Example

Annual budget cycles that require spending all funds regardless of effectiveness create a structural learning impediment—even staff who want to reallocate based on learning cannot do so.

Structural Memory

IMGIMG Section 2

Purpose encoded in institutional architecture rather than organizational narrative. Structural memory resists reinterpretation because it's embedded in processes, metrics, and governance rules rather than stories.

Example

A university's commitment to accessibility is structural memory when encoded in admissions algorithms, financial aid policies, and facility requirements—not just stated values.

Structural ScoreS_struct

R*R* Section 2.1

The composite score measuring how well an institution is architecturally designed for regeneration. Calculated from three structural invariants: S_Δ (decoupling), S_Λ (alignment), and R_a (realized recycling).

Formula
S_struct = (S_Δ + S_Λ + R_a) / 3
Example

An institution with S_Δ = 0.7, S_Λ = 0.6, R_a = 0.8 has S_struct = 0.7, indicating strong structural foundations for regeneration.

Structural Verification

OAIAOAIA Section 3

The use of operator algebra to formally verify that an institutional design satisfies required properties. Unlike empirical testing, structural verification proves properties hold for all possible states, not just observed ones.

Example

Before implementing a new pension structure, OAIA verification can prove it satisfies intergenerational fairness invariants—no simulation or pilot needed, the algebra guarantees the property.

Structural-Behavioural Weightsw_struct, w_behav

R*R* Section 6

The relative weights given to structural and behavioural scores in calculating R*. Default is 50/50, but can be adjusted for sector-specific assessment. Must sum to 1.

Formula
w_struct + w_behav = 1
Example

For a new institution (no history), use w_struct = 0.7, w_behav = 0.3. For an established institution with track record, use w_struct = 0.4, w_behav = 0.6.

Substitution by Contract and Finance

PPPABS Section 5.4

The practice of using contracts and financial instruments as 'accounting prosthetics' to approximate long-horizon commitment within frameworks that cannot otherwise represent it. In the absence of categories for continuity, mission cycles, and deferred fragility, public finance substitutes what accounting can see: contractual obligations and payment streams.

Example

PPPs allow governments to simulate long-horizon commitment through binding contracts with private partners. The price of this simulation is rigidity, opacity, and long-term cost—but the arrangement fits within existing accounting categories.

Substitution Grievance Cycles

LGITLGIT-MFC Section 4.3

Moral fragility pattern where grievance is repurposed to fill unrelated institutional gaps—such as legitimacy deficits, governance failures, or coordination breakdowns. Grievance becomes a surrogate input asked to do work it was never designed to perform.

Example

An organisation with weak performance metrics adopts grievance-based language to deflect criticism—collapsing legitimacy, learning, and execution failures into a single moral register.

Substitution Mechanisms

PPPLHC Section 5

Institutional arrangements that compensate for the absence of long-horizon capital categories. PPPs, special purpose vehicles, and off-balance-sheet financing emerged not as optimal solutions but as workarounds for vocabulary constraints. They synthesize continuity from instruments designed for discontinuity.

Example

Public-private partnerships emerged because governments could not access 'long-horizon capital'—they are substitutes that import private financing to simulate temporal properties the public vocabulary cannot express.

Substrate Blindness

PPPMEC Section 2

The structural incapacity of market architecture to see, measure, or protect the systems it depends upon. Markets monetise signals without requiring preservation of underlying capabilities. Neither price discovery, voluntary coordination, nor regulatory intervention are structurally designed to ensure that exchange preserves its own conditions of possibility.

Example

Labor markets clear on wage rates but are substrate-blind to worker health, skill renewal, and community stability. The signals markets optimise for (wages, productivity) do not encode the regeneration of what makes labor possible.

Succession Risk

Family OfficesFamily Offices Section 4

The probability that generational transitions will disrupt institutional purpose, governance, or strategy. Family offices face acute succession risk because leadership is tied to family membership rather than professional selection.

Example

The founding generation understood why certain assets were held and what values guided decisions. The third generation inherits assets without context, making decisions that unintentionally contradict original purposes.

Sunset Conditions

COASection 5.1: Delegation Boundaries

Predefined conditions under which cognitive delegation automatically expires or requires explicit renewal. Sunset conditions prevent delegation from becoming permanent by default, ensuring continued governance attention to systems that might otherwise become invisible infrastructure.

Example

Sunset conditions might include: automatic expiration after 24 months, mandatory review if vendor ownership changes, required re-authorisation if system scope expands, or termination triggers if accuracy metrics fall below thresholds.

Sunset Operators

LGITLGIT-LD Section 5.3

Explicit triggers that initiate structured mandate reassessment based on predefined conditions—temporal (after N years), outcome-based (when metric reaches threshold), or circumstantial (when external conditions change significantly).

Example

A sunset operator might specify: 'This authority expires after 15 years OR when the target disparity falls below 5%, whichever comes first—requiring explicit legislative renewal if continuation is warranted.'

Surface Collapse

PPP-GDSGDS Section 5

The reduction of decision surfaces to points where no meaningful governance choice exists. Collapse occurs when constraints accumulate until only one option remains—governance becomes mere ratification.

Example

A PPP with locked-in technology, fixed pricing, and predetermined outputs has collapsed its decision surface. Governance bodies meet, but there's nothing to decide.

Surface Constraint

PPP-GDSGDS Section 2

Limitations imposed by the decision surface that prevent certain choices regardless of their optimality. Surface constraints operate silently—options outside the surface simply don't appear as possibilities.

Example

A contract structured as a PPP cannot consider public ownership, even if analysis shows public ownership is superior. The PPP structure is a surface constraint that eliminates the option.

Surface Expansion

PPP-GDSGDS Section 4

Increasing the range of options available within a decision surface. Expansion enables governance to address previously excluded possibilities but often requires renegotiation or structural change.

Example

A contract amendment that allows new technology adoption expands the decision surface. Previously, technology choice was surface-constrained; now it's a governance decision.

Surface-Based Reasoning

INAINA Section 2.2

Governance reasoning that asks only 'does this container satisfy current rules?' without tracing whether actions remain aligned with original intent. Surface-based reasoning allows institutions to remain compliant while drifting substantively from purpose.

Example

An audit confirms all grants followed proper approval procedures and documentation requirements, but cannot detect that the grants collectively serve a purpose that contradicts the foundation's charter.

Survival-Truth Tradeoff

ILA-EBDEBD Section 8

The choice organisations face when truth threatens survival. When acknowledging reality would destroy the organisation, actors rationally choose survival over truth—creating systematic dishonesty.

Example

A charity's entire model is shown to be ineffective. Admitting this would end funding and the organisation. Staff choose to continue—their jobs, missions, and identities depend on denial.

Symbolic Compliance

CEA-PGPG Section 3

Meeting the formal requirements of governance or regulation without achieving the underlying purposes those requirements were designed to serve. The symbols of compliance are present; the substance is absent.

Example

A company has all required policies, committees, and disclosures—the symbols of good governance. But policies aren't followed, committees are captive, and disclosures obscure rather than reveal.

Symbolic Feedback

LGITLGIT-LD Section 4.3

Feedback signals that are absorbed into moral-symbolic framing rather than processed as empirical information. Criticism becomes evidence of moral failure in the critic rather than information about institutional performance.

Example

Data showing declining effectiveness of a program is reframed as evidence of 'backlash' requiring intensified commitment—the feedback is symbolically processed as threat rather than information.

Symmetry Requirements

LGITLGIT-LD Section 5.2

Evidentiary standards that apply in both directions—the same quality of evidence required to establish corrective authority should be required to maintain it. Symmetry prevents the asymmetry where establishment requires evidence but persistence requires only absence of disproof.

Example

If a disparity of 20% was required to justify intervention, symmetry requires demonstrating that a significant disparity persists for continued intervention—not merely that some disparity exists.

Synthetic Commitment

PPPLHC Section 5.2

Commitment created through contractual arrangement rather than institutional architecture. PPPs generate commitment synthetically by binding governments to private partners who impose contractual discipline. This compensates for missing vocabulary but introduces rigidity and misalignment.

Example

A 30-year PPP creates commitment by making termination expensive, not by encoding genuine temporal obligation. The commitment is synthetic—it results from contract penalty, not institutional design.

System Capacity

RCTRCT Section 5.1

The total capability of a public-good system (education, healthcare, infrastructure) to serve beneficiaries. Regenerative capital increases system capacity over time; extractive capital can hollow it out.

Example

A school system with regenerative scholarship funding grows its capacity each year as graduates pay forward. A debt-funded system may shrink as graduates struggle with loan burdens.

System IRRSystem IRR

PSCPSC Section 4.3

The effective annual return rate that would produce the same TSV if compounded. Allows comparison with traditional investment returns.

Formula
System IRR = (TSV/C₀)^(1/N) - 1
Example

If SVM = 26.7× over 30 years, System IRR ≈ 11.5% annually.

System Value Expansion

REAREA Section 4.2

The phenomenon where total system value grows faster than deployed capital due to the combined effects of recycling and capability returns. REA formalises how R and γ interact to create non-linear value growth.

Formula
Total System Value = Σ(C_n × γ) over all cycles
Example

Traditional $100K grant creates $100K-170K of value once. The same $100K in a regenerative system with R=0.9, γ=1.5 creates $2.67M of system value over 30 cycles—a 26× multiplier.

System Value Multiplier (SVM)SVM

PSCPSC Section 4.2

The ratio of Total System Value to initial capital. Measures the total impact generated per dollar invested over the full time horizon.

Formula
SVM = TSV / C₀
Example

If $100,000 generates $2.67M in system value over 30 years (R=0.95), SVM = 26.7×

Systems Seeing

RATRAT Section 2.2

The practice of perceiving institutions as interconnected cycles rather than static structures. Involves mapping capital flows, identifying feedback loops, and understanding how time horizons interact.

Example

Instead of viewing a university as buildings and staff, systems seeing reveals it as overlapping cycles: 4-year student cycles, 6-year tenure cycles, 30-year building cycles, and 100-year endowment cycles.

Temporal Asymmetry (Commitment)

CEACEA-App Section 6.2

The structural mismatch when commitments operate on long horizons (decades for climate, years for reform) while institutions operate on short, volatile cycles (political terms, budget resets, leadership tenure). Short-cycle pressures systematically dominate absent architectural protection.

Example

A net-zero target for 2050 must survive 6-7 political cycles, multiple CEO tenures, and countless budget resets. Each cycle creates opportunity for deferral, reinterpretation, or abandonment.

Temporal Asymmetry (PPP)

PPP-TATA Section 1

The structural imbalance where public and private PPP parties operate on fundamentally different time horizons. Private partners optimise for contract duration; public partners bear consequences across generations.

Example

A private PPP operator optimises for 30-year contract returns. The public bears infrastructure consequences for 100+ years. The temporal asymmetry means parties optimise for different futures.

Temporal Binding

ILAILA-LLR Section 4.3

The mechanism that connects present institutional identity to past commitments and future obligations. Strong temporal binding creates continuity; weak binding allows drift. Learning must operate within binding constraints—updating within identity, not abandoning it.

Example

Universities have strong temporal binding to academic freedom norms—a new president cannot simply abandon them. This binding constrains learning but also protects core identity.

Temporal Blindness (Accounting)

PPP-ABSABS Section 3

The inability of accounting frameworks to represent temporal considerations like lifecycle costs, deferred maintenance, and long-horizon value creation. The blindness is conceptual—time horizons beyond reporting periods aren't real to the accounting system.

Example

Accounting sees this year's maintenance cost but not next decade's maintenance crisis. The crisis is predictable but temporally invisible—it doesn't exist in annual accounts.

Temporal Bounding

LGITLGIT Section 7.1

LGIT design principle: explicitly encode review intervals for grievance-derived mandates, with authority renewed, tapered, or transformed based on structured review findings.

Example

Five-year review cycles evaluating outcome data, mission relevance, and stakeholder impact—with predetermined pathways for renewal, adjustment, or sunset.

Temporal Buffering

ILAILA-EBD Section 4.1

A Protected Learning mechanism that delays the integration of threatening evidence until sufficient time has passed for it to be absorbed without legitimacy shock. Time transforms 'we were wrong' into 'understanding has evolved'.

Example

Medical reversals are typically framed as 'new evidence shows' rather than 'we were wrong'. Temporal buffering creates narrative space between past decisions and current corrections.

Temporal Coordination Problem

CEACEA-LTE Section 2.2

Institutional action failure reframed as failure of coordination across time, not across actors. Different temporal actors control different stages: analysts dominate sensing, managers govern interpretation, executives issue commitments, operators execute, successors inherit consequences. No structure enforces continuity across these temporal boundaries.

Example

Reform efforts repeatedly restart without resolution because responsibility fragments across time—each layer optimises locally, learning is protected only until it threatens authority, execution is deferred to future administrations.

Temporal Externalisation

PPPMEC Section 3.2

The displacement of costs into the future as a structural feature of market architecture rather than a regulatory failure. Markets discount future states and optimise for present returns; temporal externalisation is not deviation from market function but expression of it. Future generations have no purchasing power to express preferences.

Example

Carbon emissions impose costs on future populations who have no market mechanism to express their preferences. Markets work as designed—they externalise temporally because nothing in their architecture binds current exchange to future welfare.

Temporal Failure of Governance

Pre-GovPre-Gov Section 1

The central diagnosis of the pre-governing framework: most governance failures are temporal failures. Governance is applied after delegation rather than before it; after autonomy is granted rather than at the moment it is defined; after meaning has fragmented rather than when it could still be stabilised.

Example

A startup grants its AI system broad optimisation authority, then scrambles to add safety constraints after users report harmful outputs—the governance arrived too late to shape the decision space.

Temporal Feasibility

GERCGERC Section 2.3

The property of allocations that satisfy cycle constitution constraints—resource commitments are temporally consistent and can be fulfilled within the specified time horizons. Temporal feasibility is the regenerative analog to budget feasibility in standard economics.

Example

A scholarship program is temporally feasible if its promised disbursements can be funded by expected repayments within each cycle—if it requires borrowing from future cycles, it violates temporal feasibility.

Temporal Flattening

LGIT-GWDGWD Section 6

The psychological process where events from different time periods are experienced as equally present and urgent. Temporal flattening eliminates the emotional distance that normally accompanies historical events.

Example

A person experiences rage about events from 200 years ago with the same intensity as events from yesterday. Temporal distance has collapsed; history feels like now.

Temporal Governance

RCARCA Section 1.2

The practice of designing institutional rules that protect long-term missions from short-term pressures. RCA provides the formal framework for analysing and implementing temporal governance.

Example

A university endowment has partial temporal governance (permanent capital) but fails full RCA criteria because it only deploys 5% annually—it's decoupled but not aligned with mission needs.

Temporal Incompatibility

AMIAMI Section 3

The condition where two systems operating on different timescales cannot effectively interface. When authority cycles and mission cycles are temporally incompatible, decisions are made by people who won't bear their consequences.

Example

Climate adaptation requires 50-100 year horizons. Political authority operates on 4-year horizons. The 10-25x temporal incompatibility makes coherent climate governance nearly impossible.

Temporal Intelligence

RATRAT Section 2.3

The developed capacity to think across multiple time horizons simultaneously. Enables designers to hold short-term operational needs alongside long-term systemic requirements without collapsing into either.

Example

A climate fund manager exercises temporal intelligence by designing systems that respond to immediate disaster needs while maintaining 50-year adaptation horizons—neither sacrificing urgency for permanence nor permanence for urgency.

Temporal Misalignment (Capital Markets)

RCMRCM Section 2.1

The structural gap between market evaluation cycles (quarters) and real value creation timelines (years to decades). Creates systematic underinvestment in long-term projects and pressure to prioritize short-term metrics. See also: Temporal Misalignment (PPP) for public-private partnerships context.

Formula
Misalignment Coefficient = Value Creation Time / Market Evaluation Cycle
Example

Pharmaceutical R&D takes 15 years but markets evaluate quarterly. Misalignment coefficient = 60×. This creates pressure to cut long-term research for short-term earnings.

Temporal Misalignment (Development)

RC-WDRC-WD Section 2.3

The gap between funding cycle length and mission cycle length. Annual budget cycles funding 30-year infrastructure creates 30× temporal misalignment—the project must survive 30 consecutive annual renewals, each an opportunity for disruption.

Formula
Misalignment = Mission Cycle / Funding Cycle
Example

A 50-year climate adaptation program funded by 4-year electoral cycles has 12.5× misalignment. Each government change threatens discontinuity. RDF eliminates this by matching capital horizon to mission horizon.

Temporal Misalignment (PPP)

PPPPPP Section 5.2

The mismatch between PPP concession periods (25-30 years with defined endpoints) and public-good mission cycles (which don't terminate neatly and require continuity). Performance incentives concentrate within concession horizons, creating systematic underinvestment toward contract end. See also: Temporal Misalignment (Capital Markets) for the market evaluation context.

Example

Near the end of a 25-year school PPP, the private operator rationally minimizes maintenance spending since they won't bear the long-term consequences.

Temporal Mismatch

RCSRCS Section 3.3

The condition where capital cycles are shorter or more volatile than mission cycles. Capital fluctuates more rapidly than mission demand, arriving prematurely, after failure has occurred, or in patterns that prevent coherent long-term planning.

Example

Scientific research requires 15-25 year mission cycles; 3-year grant cycles create temporal mismatch. Scientists spend 40% of time on proposals rather than research—a direct consequence of cycle mismatch.

Temporal Mismatch (Authority vs Mission)

PPPIF Section 4.1

The fundamental asymmetry where authority cycles are discontinuous (bounded terms that reset) while mission cycles are continuous (requiring sustained commitment across decades). Those empowered to decide are not obligated to sustain; authority is repeatedly reset while responsibility remains diffuse across time.

Example

A 4-year ministerial appointment governs a 75-year infrastructure asset. The authority cycle cannot see the mission cycle—decisions optimise for what's achievable within the term, not what's required over the asset's lifetime.

Temporal Resilience

IMGIMG Section 4

The institutional capacity to change without losing purpose—gained by decoupling intent from organisational form. Institutions are no longer forced to choose between adaptation and continuity; change becomes a normal condition of operation rather than a threat to identity.

Example

A temporally resilient museum can adopt new technologies, restructure departments, and change leadership while its purpose of 'preserving heritage for public benefit' remains a stable external reference rather than embedded in any particular configuration.

Temporal Sovereignty

PPP-LHCLHC Section 6

The ability of a mission or institution to operate on its own timescale rather than being subordinated to external cycles. Temporal sovereignty requires protection from fragility cycle capture.

Example

A central bank with protected independence has temporal sovereignty—it can make decisions on economic timescales rather than political timescales. This sovereignty is architectural, not granted.

Temporal Vocabulary (Public Finance)

PPPLHC Section 2

The conceptual language available to public finance for representing capital that must operate across long time horizons. Current vocabulary forces capital into categories designed for flows (budgets), liabilities (debt), events (grants), or transactions (contracts)—none of which govern continuity. The missing vocabulary prevents institutional actors from thinking in decades.

Example

A minister cannot request 'long-horizon capital' because the category does not exist in budget submissions. Available options are annual appropriations, debt instruments, or project grants—all of which encode temporal constraints incompatible with 50-year missions.

Three-Party Exchange

InternetInternet Section 4

A transaction structure where value flows between creator and consumer must pass through a third party (advertiser) because direct payment is too costly or complex. The third party's interests inevitably distort the creator-consumer relationship.

Example

A journalist writes for readers but is paid by advertisers. The three-party structure means the journalist must serve advertiser interests (engagement, clicks) even when these conflict with reader interests (accuracy, depth).

Time Horizon Conflict

PPP-TATA Section 2

The inherent conflict between parties whose optimal decisions depend on different time horizons. What's rational for a 10-year horizon may be irrational for a 50-year horizon—both cannot be optimised simultaneously.

Example

Deferring maintenance is rational for a short horizon (save costs today) but irrational for a long horizon (higher total lifecycle cost). Time horizon determines which choice is 'rational.'

Total System Value (TSV)TSV

PSCPSC Section 4.1

The cumulative value created by capital as it cycles through multiple beneficiaries over time. Includes both deployment impact and residual capital.

Formula
TSV = γC₀(1-Rᴺ)/(1-R) + C₀Rᴺ
Example

A $100K deployment with R=0.9 over 10 cycles creates TSV of approximately $950,000.

Tragedy of the Commons

AcademicSee: Pre-Governing, Regenerative Systems

The depletion of shared resources when individuals acting in self-interest collectively destroy the commons. IRSA's research on Pre-Governing and Regenerative Systems offers architectural solutions: designing commons governance before depletion pressures emerge, and creating regenerative feedback loops where use strengthens rather than depletes the resource.

Example

Overfishing depletes ocean stocks. Traditional solutions: quotas and enforcement. IRSA approach: design governance architecture where individual fishing incentives align with stock regeneration—making sustainability the path of least resistance.

Transaction Costs

AcademicSee: Market Exchange Constitution, Constitutional Precondition

The costs of making economic exchanges beyond the price of goods—search, bargaining, enforcement. IRSA's research on Market Exchange Constitution shows that high transaction costs often signal missing constitutional preconditions for markets to function regeneratively. Rather than reducing costs, the solution may require building foundational infrastructure.

Example

Impact investing has high due diligence costs. Traditional view: efficiency problem. IRSA view: the market lacks constitutional preconditions (standardised metrics, verification infrastructure) that would make transaction costs unnecessary.

Trust Recalibration

COASection 5.3: Learning Asymmetry Management

The process of adjusting institutional reliance on AI systems following significant changes—model updates, retraining, vendor transitions, or failure events. Trust recalibration is not merely technical validation but institutional revalidation of delegation appropriateness.

Example

After a model update, technical teams validate accuracy metrics. Trust recalibration goes further: reviewing whether the update changed which decisions the model influences, whether human override patterns should change, and whether accountability structures remain appropriate.

Trust Threshold

LGIT-LDLD Section 4

The minimum level of trust required for an institution to function effectively. Below this threshold, stakeholders withdraw cooperation and the institution cannot operate regardless of its formal authority.

Example

A regulator needs industry cooperation to function. Below a trust threshold, companies resist, litigate, and lobby for the regulator's elimination. Formal authority cannot substitute for trust.

Truth-Aligned Legitimacy

LGITLGIT Section 5.1

Legitimacy grounded in descriptive honesty rather than moral consensus—naming enforcement asymmetries, acknowledging bounded commitments, and scoping obligations to what can actually be upheld. Paradoxically, institutions that admit limitation often regain trust faster than those that insist on totality.

Example

A regulator stating 'We can monitor these 50 institutions effectively; beyond that our enforcement becomes performative' demonstrates truth-aligned legitimacy—building credibility through honest scoping.

Turnover-Induced Amnesia

Inst-ForgetIF Section 4

Knowledge loss caused by staff departure when knowledge is held in individuals rather than systems. High turnover creates chronic amnesia; even moderate turnover causes significant loss of tacit knowledge.

Example

The engineer who understood why a system was designed a certain way retires. No documentation captured her knowledge. The organisation has forgotten the design rationale—they have the system but not the understanding.

Typed Mission Graphs

SFSF Section 4.3

Semantic structures representing mission relationships where nodes are mission intents, edges are governed relationships (derivation, delegation, extension, refinement), and types constrain how missions may interact or compose. Enables capital to participate in complex, multi-layered purpose systems without ambiguity.

Example

A 'global education' mission node connects via 'specializes' edge to 'STEM education' and 'girls' education' nodes. Capital deployed to STEM education can be traced through the graph to the parent mission, making the relationship explicit and inspectable.

Typed Relationships

INAINA Section 3.2

Explicit, declared relationships between ideas that enable governance to reason about alignment and conflict structurally rather than heuristically. Standard types include: supports (one idea operationalises another), constrains (one idea limits another's scope), derives from (refinement or interpretation), supersedes (replacement or update), and conflicts with (incompatible requirements).

Example

A strategic initiative I₁ is explicitly typed as 'supports' mission M₁ and 'constrained by' fiduciary duty F₁, making it possible to automatically detect when a proposed action would violate these relationships.

Typed Relationships

INDSection 4.2: Typed Relationships

Named, semantically meaningful connections between ideas that enable directed navigation. Unlike simple association, typed relationships specify how ideas connect: 'embodies', 'contrasts with', 'evolved from', 'applies to'.

Example

'The sublime' EVOLVED_FROM 'terror' (per Burke); 'the sublime' CONTRASTS_WITH 'the beautiful'; Shelley's 'Mont Blanc' EMBODIES 'the sublime'. Types make navigation meaningful—you know why ideas connect, not just that they connect.

Typed Semantic Relationships

SGAISGAI Section 5.2

Explicit structural links between goal objects that define how they relate: supports (increases feasibility), constrains (limits pursuit), overrides (supersedes under conditions), or scopes (defines applicability domain). These relationships enable governed conflict resolution rather than emergent runtime decisions.

Example

Safety goal S 'constrains' efficiency goal E, meaning efficiency optimisation cannot violate safety bounds. Helpfulness goal H 'supports' user satisfaction U, enabling coordination. Emergency override O 'overrides' normal protocols under crisis conditions.

Unanchored Interpretation

IMGIMG Section 5

The default state of institutional governance where each individual decision is locally rational and each reinterpretation appears reasonable, yet without a semantic anchor, the accumulation of small semantic shifts produces a materially different institution. Drift emerges as an emergent property.

Example

Over twenty years, a public broadcaster makes hundreds of reasonable programming decisions, each justified by audience data and budget constraints, until it has become indistinguishable from commercial competitors—no single decision was drift, but unanchored interpretation produced it.

Unified Architecture for Catalytic Capital (UACC)

UACCUACC Section 1

A comprehensive framework that unifies catalytic capital theory through five functional layers, a Capital Stack Tensor for multi-dimensional capital mapping, and a Function-Instrument Matrix that links purposes to instruments. UACC provides the architectural blueprint for designing blended finance structures that achieve perpetual social impact.

Example

SEFA (Social Enterprise Finance Australia) implements UACC by combining concessional capital (Layer 1), patient deployment (Layer 2), co-investment partnerships (Layer 3), systematic impact measurement (Layer 4), and recycling mechanisms (Layer 5) to achieve 4× catalytic leverage.

Update Latency

ILA-CoreILA-Core Section 3

The time between evidence availability and belief or practice change. Long update latency means institutions continue with outdated approaches while better information exists but hasn't penetrated decision-making.

Example

Research proving a practice is harmful was published 5 years ago, but the institution continues the practice. The 5-year update latency represents accumulated harm from delayed learning.

Update Space (U)U

ILAILA-Core Section 4

The component of a learning cycle defining which beliefs, rules, or structures may change. Constrained update spaces limit learning to symbolic recommendations rather than substantive change. Even with perfect evidence (wide Ω), institutions cannot learn if U is narrow—evidence accumulates but models remain unchanged.

Example

An agency where U = procedural adjustments only cannot update its underlying models regardless of evidence quality. Expanding U to include procurement rules, risk allocation, and delivery models enables genuine learning.

Update Suppression RateUSR

ILAILA-ALR Section 3.1

A diagnostic metric measuring the proportion of available feedback signals that fail to produce institutional update. USR = 1 - (Updates Implemented / Feedback Events Received). High USR indicates systematic suppression: the institution receives signals but doesn't change.

Formula
USR = 1 - (Updates / Feedback Events)
Example

A hospital receives 500 incident reports annually and implements changes in response to 50. USR = 0.90 (90% of feedback is suppressed). The hospital is learning-active but update-suppressed.

Update Suppression RateUSR

ILA-ALRALR Section 2

The proportion of disconfirming evidence that fails to produce appropriate belief or practice updates. High USR indicates an anti-learning regime where evidence accumulates without effect.

Formula
USR = (Disconfirming Evidence − Updates) / Disconfirming Evidence
Example

An organisation receives 20 evaluation reports showing program failure; 2 produce strategy changes. USR = 90%—almost all disconfirming evidence is suppressed.

Value Attribution Failure

InternetInternet Section 9

The inability to correctly identify and compensate the sources of value in a system. When value flows through intermediaries and attention proxies, the original value creators often receive nothing or a fraction of the value they create.

Example

A viral tweet generates millions of ad impressions, but the tweet author receives nothing. The value attribution system credits the platform, not the creator, because the platform controls the measurement.

Value Destruction from Misalignment

RCMRCM Section 4.2

The economic loss from canceling long-term projects due to short-term pressure. Occurs when market cycles force evaluation before value materializes, leading to premature termination of valuable initiatives.

Example

A climate infrastructure project with 30-year payback gets cancelled in year 3 due to quarterly earnings pressure. The $500M invested is lost; the $5B in avoided climate damage never materializes.

Value Extraction vs Value Creation

PPP-MECMEC Section 5

The distinction between market activity that redistributes existing value versus activity that creates new value. Markets without proper constitution often enable extraction disguised as creation.

Example

A PPP that captures public assets at below-market prices extracts value. The transaction looks like market creation but is constitutional extraction—value moved, not created.

Variable Geometry

IOAIOA Section 4

An approach to international cooperation based on selective participation—smaller coalitions, issue-specific groupings, and overlapping memberships rather than universal institutions. Variable geometry accepts that not all states will participate in all arrangements but risks fragmentation without clear operating architecture.

Example

Climate coalitions of willing states, AUKUS security arrangements, and regional trade agreements represent variable geometry—flexible but potentially fragmentary if not coordinated through shared operating protocols.

Verification (CEA Primitive)

CEACEA Section 2.3

The third CEA primitive: there's a clear way to determine whether the commitment was kept—not self-reported but observable. Verification requires defined success criteria and independent assessment capability.

Example

Self-reported ESG metrics fail verification (institutions grade their own homework). Third-party audits with published criteria and transparent methodology satisfy the verification primitive.

Verification Anxiety

Art MarketArt Market Section 5

The persistent uncertainty about authenticity, provenance, and attribution that characterises markets lacking reliable verification infrastructure. This anxiety inflates transaction costs, distorts prices, and enables fraud.

Example

Collectors routinely pay for redundant authentication services, consult multiple experts, and still face uncertainty—the market has not produced a trusted verification standard because no institution has authority to establish one.

Viable RegionS ⊆ X

FRSFRS Section 2.6

A compact, forward-invariant subset of the state space within which regeneration can occur. The viable region captures minimal operating thresholds—funding baselines, governance coherence, asset-maintenance minimums. Trajectories leaving S enter failure states where regeneration becomes impossible.

Example

For a health system, S includes states where equipment ages are below critical limits, staffing meets minimums, and budgets cover essential operations. Outside S, the system collapses and cannot regenerate.

Victimhood Competition

LGIT-PEPGPEPG Section 5

The contest among groups to establish superior victim status. In environments where victimhood confers advantages, groups compete to demonstrate greater historical suffering.

Example

Multiple groups compete for recognition as 'most oppressed.' Each group emphasises its suffering while minimising others'. The competition escalates grievance intensity for all groups.

Volatility IndexV_shock

R*R* Section 4.2

Measures performance stability. High V_shock indicates erratic outcomes and sensitivity to leadership changes; low V_shock indicates consistent performance through changes.

Formula
V_shock = σ(performance) / μ(performance)
Example

A stable institution with consistent outcomes has V_shock ≈ 0.1. One with erratic performance dependent on specific leaders has V_shock ≈ 0.7.

Weak Regeneration

FRSFRS Section 3.5

A system satisfies weak regeneration if capability is preserved (not necessarily increased) across cycles: V(x_{t+T}) ≥ V(xₜ). Weak regeneration avoids decay but doesn't compound. Systems relying only on decoupling (Δ) without full alignment (Λ) often achieve weak regeneration.

Formula
V(x_{t+T}) ≥ V(xₜ)
Example

An endowment with conservative investment policy achieves weak regeneration—principal is preserved across market cycles, but the fund doesn't grow in real terms. It avoids decay without compounding.

What Causes Nonprofit Mission Drift?

AcademicSee: Alignment Capital, Authority-Mission Misalignment

Mission drift is not primarily a leadership failure but a structural response to capital pressure. When funding requires demonstrating short-term results, organisations shift toward easily-measured activities regardless of mission alignment. The solution is capital decoupling—funding architecture that operates on mission timescales.

Example

An advocacy organisation shifts to service delivery because funders want measurable outputs. The drift isn't caused by leaders forgetting the mission but by capital architecture that rewards the wrong activities. See: Alignment Capital, Capital Decoupling.

What Makes Funding Sustainable?

AcademicSee: Perpetual Social Capital, Regenerative Capital Systems

Funding sustainability requires capital architecture that regenerates through use rather than depleting. Traditional models (grants, donations) create termination events; regenerative models (PSC, revolving funds) create renewal events. The key is whether capital returns to the system after deployment.

Example

A grant-funded program ends when the grant does. A PSC-funded program cycles capital back when beneficiaries pay forward, creating indefinite sustainability without perpetual fundraising.

Why Do Charities Struggle to Scale?

AcademicSee: Perpetual Social Capital, System Value Multiplier

Charitable organisations face fundamental scaling barriers not from lack of demand but from capital architecture: grants terminate, donors fatigue, and each growth phase requires new fundraising. IRSA's Perpetual Social Capital addresses this by creating capital that cycles indefinitely, enabling scale without proportional fundraising increase.

Example

A successful pilot program cannot expand because securing 10x more grants takes 10x more effort. PSC breaks this constraint: the same capital cycles through more beneficiaries without requiring more donor relationships.

Why Do Development Projects Fail?

AcademicSee: Regenerative Development Finance, Cycle Alignment

Development projects fail when their capital architecture doesn't match the problem's temporal structure. Short-term projects address long-term problems; results disappear when funding ends. Success requires aligning capital cycles with mission cycles—deploying capital on the timescale the problem actually requires.

Example

A 3-year education project shows improvements that vanish when funding ends. The project succeeded on its own terms but failed the mission because capital and mission cycles were misaligned.

Why Do Governments Struggle with Long-Term Planning?

AcademicSee: Temporal Asymmetry, Political Cycle Capture, PPP-LHC

Government planning horizons are captured by political cycles: elected officials have 2-5 year horizons while infrastructure, climate, and institutional challenges require 30-100 year horizons. This temporal mismatch is structural, not a failure of will. Solutions require architectural decoupling of certain decisions from political cycles.

Example

Climate policy oscillates with elections despite scientific consensus. The problem isn't political will but political architecture: decisions with 100-year consequences are governed by 4-year cycles. See: Temporal Asymmetry, Political Cycle Capture.

Why Do Institutions Fail?

AcademicSee: Regenerative Cycle Architecture, Fragility Cycles

Institutions fail not primarily due to bad actors or poor decisions, but due to structural misalignment between their capital cycles and mission cycles. When funding, authority, and capability operate on shorter timescales than the mission requires, failure becomes structurally inevitable regardless of individual competence. IRSA's research provides architectural solutions.

Example

A development agency fails to achieve lasting impact despite good intentions. The cause isn't incompetence but structural: 3-year funding cycles cannot support 30-year development goals. See: Regenerative Cycle Architecture, Fragility Cycles.

Why Do Public-Private Partnerships Fail?

AcademicSee: PPP Series, Why Contracts Fail, Temporal Asymmetry

PPPs fail due to structural asymmetries: private partners optimise for contract duration while public partners bear generational consequences. Contract incompleteness, temporal mismatch, and accounting blind spots make failure predictable. IRSA's PPP Series provides comprehensive diagnosis and architectural remedies.

Example

A 30-year infrastructure PPP delivers poor value because the private operator optimised for contract returns while deferring maintenance. The failure was architectural, not managerial. See: PPP Series, Temporal Asymmetry.