Cultural Ecosystem: Canonical Domain Analysis

Status: Canonical reference. Full 12-step analysis of the cultural ecosystem — what many minds with varied cognitive architectures produce collectively when they interact over time. Domain kind (R1): Observable-community domain. The cultural ecosystem is the cognitive chain's community level — what emerges when many cognitive architecture instances interact. Parallels the biological ecosystem (what many organisms produce) and the digital ecosystem (what many applications produce). Builds on: v1_revision/v1_biology_domain_analysis/bio_v2/exploration-cognitive-information-system-full-analysis.md §5 (cultural ecosystem primitives, biological parallel), abstract_info_domain_analysis/analysis-abstract-ecosystem.md (abstract ecosystem: 9 primitives, dependencies, core triad), analysis-cognitive-substrate.md (cognitive substrate: 6 primitives) Parallel to: Biological ecosystem {Pd,Cs,Cy,Dv,In,Rg,Sp,Tp,Ct}, Digital ecosystem {Vc,Ex,Ru,Dv,Ig,Gv,Tp,Eo,Io} (partially analyzed in entity chain)

Step 1 — Information Gathering

1.1 What is being analyzed

What happens when many symbolically-communicating minds interact over time. Not what one mind does (that's cognitive architecture: {Kw,Sk,Dc,Pl,Co,Jd,Cr,Si,Id}) but what MANY minds produce COLLECTIVELY — the emergent community structure.

This is the same level of analysis as:

• Biological ecosystem — what many organisms produce together (food webs, nutrient cycles, ecological communities)
• Digital ecosystem — what many applications produce together (platforms, marketplaces, standards)

1.2 Relevant literature

• Cultural evolution: Boyd & Richerson "Culture and the Evolutionary Process," Henrich "The Secret of Our Success" — dual inheritance, cultural accumulation, gene-culture coevolution
• Economic anthropology: Polanyi "The Great Transformation," Sahlins "Stone Age Economics" — exchange systems, reciprocity, redistribution
• Institutional economics: North "Institutions, Institutional Change, and Economic Performance" — governance as rules of the game
• Cultural geography: Diamond "Guns, Germs, and Steel" — territorial dynamics, connectivity, geographic determinism
• Social network theory: Granovetter "The Strength of Weak Ties," Dunbar "How Many Friends Does One Person Need?" — coordination structure, network topology
• Civilization studies: Braudel "Civilization and Capitalism," McNeill "The Rise of the West" — succession, connectivity, long-duration dynamics
• Knowledge ecology: Mokyr "The Gifts of Athena" — knowledge transmission, useful knowledge, the Industrial Enlightenment

1.3 The cultural medium

The cultural ecosystem operates through SYMBOLIC COMMUNICATION — the cognitive substrate's Sy primitive at Full level. This is what distinguishes cultural ecosystems from biological ecosystems:

• Biological ecosystems transfer energy and matter (physical transfer)
• Cultural ecosystems transfer information and value (symbolic + physical transfer)

The symbolic medium means cultural ecosystems can transmit ABSTRACT content — ideas, norms, technologies, stories — not just physical resources. This makes cultural transmission FASTER (words travel faster than nutrients) but LOSSIER (meanings shift more easily than molecular structures).

Step 2 — Landscape Analysis

2.1 Cultural ecosystems across human history

2.2 What the landscape reveals

Production (Pr) is the first primitive to elaborate — from foraging (Pr1) to agriculture (Pr2) to industry (Pr3-4) to knowledge economy (Full). Each production transition enables new levels of all other primitives.

Transmission (Tr) has discrete technology-driven transitions:

• Oral transmission (Tr2): limited by human memory, face-to-face contact
• Writing (Tr3): persistent, transportable, but limited literacy
• Printing (Tr4): mass reproducible, widespread literacy possible
• Digital (Full Tr): instantaneous, global, searchable, infinitely copyable

Each Tr transition AMPLIFIES all other primitives — writing enables governance (law codes), printing enables science (reproducible publications), digital enables global connectivity.

Governance (Gv) has the most variable trajectory — not monotonically increasing. Empires rise and fall. Democracies emerge and are suppressed. Governance is the most FRAGILE primitive — it depends on sustained coordination and can collapse rapidly (state failure, revolution).

Connectivity (Ct) has the strongest long-term trend — from isolated bands to global networks. Once connectivity increases, it rarely decreases permanently (even Rome's fall preserved trade networks at reduced levels).

2.3 Attractor positions

Attractor 1: Subsistence community (all at 1-2)

• Band/village level, oral tradition, egalitarian, local
• Stable for ~200,000 years of human history
• Wall to exit: Pr2→Pr3 (agricultural surplus) requires sedentism and storage technology

Attractor 2: Agrarian civilization (all at 3)

• City-states and kingdoms, writing, law, trade, formal governance
• Stable across multiple civilizations (Mesopotamia, Egypt, China, Mesoamerica)
• Wall to exit: Tr3→Tr4 (mass reproducible text) requires printing technology

Attractor 3: Industrial nation-state (all at 4)

• Factory production, national markets, universal education, democratic governance, global trade
• Current dominant form for ~150 years
• Potential wall: governance structures may not scale to global problems

Attractor 4: Global knowledge ecosystem (Full)

• Knowledge economy, digital transmission, global connectivity, institutional governance at international scale
• Partially achieved, still emerging

Step 3/3b — Primitives and Partial Levels

Nine primitives (from v1, paralleling abstract ecosystem)

3.1 Production (Pr)

Definition: Collective value creation — the economic, intellectual, and material output of the community. How the cultural ecosystem captures and generates value.

Phase transition: Pr2→Pr3. Specialization. Below: most people produce food. Above: surplus enables full-time SPECIALISTS (potters, smiths, scribes, priests). This creates the division of labor that drives all subsequent cultural complexity.

3.2 Exchange (Ex)

Definition: Transfer of value between individuals and groups — trade, gift, reciprocity, markets. How value FLOWS through the community.

Phase transition: Ex2→Ex3. Money. Below: exchange requires coincidence of wants (I have fish, you have grain). Above: CURRENCY mediates — any value converts to money converts to any other value. This enables market scaling, price signals, and economic complexity.

3.3 Transmission (Tr)

Definition: Knowledge and skill transfer across individuals and generations — teaching, apprenticeship, publication, media. How knowledge ACCUMULATES rather than dying with individuals.

Phase transition: Tr2→Tr3. Writing. Below: knowledge exists only in living minds (lost if all knowers die). Above: knowledge exists OUTSIDE minds in durable artifacts. This is the transition from oral to literate culture — knowledge becomes PERSISTENT independently of knowers. Parallels biology's transition to DNA-based information storage.

3.4 Diversity (Dv)

Definition: Variety of cognitive architectures, skills, knowledge, perspectives, and cultural forms within the community. The raw material for innovation and specialization.

Phase transition: Dv2→Dv3. Professional specialization. Below: a few broad roles. Above: many narrow specializations with formal training paths. This is where the community becomes capable of complex collective projects (cathedrals, legal systems, scientific programs) requiring coordinated specialists.

3.5 Coordination (Cd)

Definition: Social interaction structure — cooperation, competition, negotiation, alliance. How community members relate to and organize with each other.

Phase transition: Cd2→Cd3. Institutional. Below: coordination based on personal relationships (kinship, friendship, reputation). Above: coordination based on ROLES AND RULES — you cooperate with strangers because of institutional structures (laws, contracts, organizations). This enables scaling beyond the Dunbar number (~150 personal relationships).

3.6 Governance (Gv)

Definition: Collective regulation — rules, authority, conflict resolution, resource allocation. How the community controls its own structure and behavior.

Phase transition: Gv2→Gv3. Codified law. Below: rules exist in memory and custom (change with retelling, vary by elder). Above: rules are WRITTEN DOWN — persistent, publicly accessible, applicable to strangers. Written law enables governance at scale.

3.7 Territory (Te)

Definition: Spatial organization — settlement patterns, land use, boundaries, mobility. How the cultural community occupies and organizes physical space.

Phase transition: Te2→Te3. Urbanization. Below: everyone lives in similar small settlements. Above: CITIES emerge — large permanent concentrations with qualitatively different social dynamics (anonymity, specialization, innovation). Urbanization is the spatial prerequisite for institutional coordination (Cd3).

3.8 Succession (Sc)

Definition: Temporal dynamics — generational change, institutional evolution, innovation cycles, stability/disruption. How the cultural ecosystem changes over time.

Phase transition: Sc3→Sc4. Deliberate innovation. Below: cultural change is a side effect of other activities. Above: innovation is DELIBERATE AND SYSTEMATIC — scientific method, R&D investment, patent systems. Culture begins to deliberately accelerate its own change.

3.9 Connectivity (Ct)

Definition: Cross-community exchange — trade routes, diplomacy, cultural diffusion, migration. How separate cultural communities interact.

Phase transition: Ct2→Ct3. Diplomacy. Below: cross-community exchange is purely economic (goods for goods). Above: exchange includes POLITICAL coordination (treaties, alliances, shared rules). This enables inter-community cooperation beyond trade.

Step 4 — Dependencies

Pr → (nothing; hub — production is foundational)
Ex → Pr (exchange requires something to exchange)
Tr → Pr (transmission requires knowledge/skills produced)
Dv → Pr (diversity requires productive surplus to sustain specialists)
Cd → Dv (coordination requires multiple types to coordinate)
Gv → Ex, Cd (governance requires both exchange to regulate AND coordination to enforce)
Te → Pr (territorial structure requires productive base)
Sc → Pr, Gv (succession requires productive base AND regulatory mechanisms to change)
Ct → Te, Dv (connectivity requires spatial separation AND diversity worth connecting to)

DAG:

Pr (hub)
  ├── Ex ──────────────┐
  ├── Tr               │
  ├── Dv ──────┐       │
  │     └── Cd ┼────── Gv → Sc
  ├── Te ──────┼────── Ct
  │            │
  └────────────┘

Hub: Production (Pr). Everything depends on value creation. Same pattern as biological ecosystem (Pd) and abstract ecosystem.

The metabolic chain: Pr → Ex → (Gv). Production feeds exchange; exchange requires governance to function at scale. In biology: Pd → Cs → Rg.

The complexity diamond: Pr → Ex → Gv and Pr → Dv → Cd → Gv. Two paths converge at Governance — governance requires BOTH exchange mechanisms (to regulate value flow) AND coordination structures (to enforce rules). Same diamond structure as abstract ecosystem.

Depth: Maximum chain: Pr → Dv → Cd → Gv → Sc (depth 4). Same as abstract ecosystem.

Step 5-6 — Pair Enumeration and Load Classification

C(9,2) = 36 pairs.

Heavy pairs (11 of 36 = 31%)

Medium pairs (12)

Pr-Cd, Pr-Gv, Pr-Te, Ex-Tr, Ex-Dv, Tr-Dv, Tr-Gv, Tr-Ct, Dv-Gv, Cd-Sc, Gv-Sc, Sp-Sc

Light pairs (13)

The remaining pairs — structurally connected but not sites of major content.

Core triad

{Pr, Ex, Tr} — Production, Exchange, Transmission.

"What makes a cultural ecosystem?" → Value is PRODUCED (Pr), EXCHANGED between actors (Ex), and TRANSMITTED across generations (Tr).

• Pr-Ex: HEAVY ✓ (economic activity)
• Pr-Tr: HEAVY ✓ (knowledge economy)
• Ex-Tr: Medium (exchange of knowledge — important but mediated through other primitives)

Assessment: Ex-Tr is medium, not heavy. But the triad still functions as core: Production feeds both Exchange and Transmission, and together the three form the cultural ecosystem's METABOLISM — how value enters, flows, and persists.

Parallel:

• Biology: {Pd, Cs, Cy} — Production, Consumption, Cycling
• Abstract: {Pd, Tf, Cy} — Production, Transfer, Cycling

The mapping: Ex (exchange) parallels Cs/Tf (consumption/transfer) as value FLOW. Tr (transmission) parallels Cy (cycling) as value RECYCLING through the system. Production is universal.

Step 7 — Coherent Sub-lattice

Dependencies:

Pr → nothing
Ex → Pr
Tr → Pr
Dv → Pr
Cd → Dv
Gv → Ex, Cd
Te → Pr
Sc → Pr, Gv
Ct → Te, Dv

Systematic enumeration: Pr must be present for any other primitive. With Pr present:

Independent from Pr: {Ex, Tr, Dv, Te} — each depends only on Pr. Dependent: Cd → Dv. Gv → Ex AND Cd. Sc → Gv (which requires Ex and Cd and thus Dv). Ct → Te AND Dv.

Let me enumerate by tracking constraint chains:

Free choices (given Pr): Ex (yes/no), Tr (yes/no), Dv (yes/no), Te (yes/no) = 4 free bits = 16 combinations.

For each combination, which dependent primitives CAN appear:

• Cd: requires Dv. So Cd available iff Dv present.
• Gv: requires Ex AND Cd. So Gv available iff Ex present AND Cd present (which requires Dv).
• Sc: requires Gv. So Sc available iff Gv present.
• Ct: requires Te AND Dv. So Ct available iff both present.

For each of 16 base combos, count available dependent subsets:

When Dv=0: Cd=0, Gv=0, Sc=0. When Te=0: Ct=0. So: only {Ex, Tr} vary → 0 dependent primitives available. Each base combo gives 1 valid config. Count: 4 combos (Ex×Tr × Dv=0 × Te=0) → 4 valid.

When Dv=1, Te=0: Cd can be 0 or 1. If Cd=1 AND Ex=1: Gv can be 0 or 1. If Gv=1: Sc can be 0 or 1. Ct=0 (Te absent).

• Ex=0: Cd∈{0,1}, Gv=0, Sc=0. Tr∈{0,1}. → 2(Cd) × 2(Tr) = 4
• Ex=1: Cd=0: Gv=0, Sc=0. Tr∈{0,1}. → 2. Cd=1: Gv∈{0,1}. Gv=0: Sc=0. Gv=1: Sc∈{0,1}. → 1+2=3. Tr∈{0,1}. → 3×2=6.
• Subtotal Dv=1,Te=0: 4+2+6 = 12.

When Dv=0, Te=1: Cd=0, Gv=0, Sc=0, Ct=0. Ex∈{0,1}, Tr∈{0,1}. → 4.

When Dv=1, Te=1: Cd∈{0,1}. Ct∈{0,1} (both deps met).

• Cd=0: Gv=0, Sc=0. Ct∈{0,1}. Ex∈{0,1}, Tr∈{0,1}. → 2×2×2 = 8.
• Cd=1, Ex=0: Gv=0, Sc=0. Ct∈{0,1}. Tr∈{0,1}. → 2×2 = 4.
• Cd=1, Ex=1: Gv∈{0,1}. If Gv=0: Sc=0. If Gv=1: Sc∈{0,1}. → 1+2=3. Ct∈{0,1}. Tr∈{0,1}. → 3×2×2 = 12.
• Subtotal Dv=1,Te=1: 8+4+12 = 24.

Total with Pr present: 4+12+4+24 = 44. Plus {} (empty set): 1.

Total valid: 45 of 2^9 = 512.

Filter: 45/512 = 8.8%.

Comparison

The cultural ecosystem at 8.8% is the TIGHTEST 9-primitive domain analyzed. The deep dependency chains (Pr → Dv → Cd → Gv → Sc, depth 4) severely constrain valid configurations. This reflects the empirical observation that cultural ecosystems are FRAGILE — remove one element (governance collapses, trade networks break) and many others become impossible.

Step 8 — Hasse Diagram Walks

8.1 The historical build-up (canonical walk)

{} → {Pr} → {Pr,Tr} → {Pr,Ex,Tr} → {Pr,Ex,Tr,Dv} → {Pr,Ex,Tr,Dv,Te}
  → {Pr,Ex,Tr,Dv,Te,Cd} → {Pr,Ex,Tr,Dv,Te,Cd,Gv} → {Pr,Ex,Tr,Dv,Te,Cd,Gv,Ct}
  → {Pr,Ex,Tr,Dv,Te,Cd,Gv,Ct,Sc}

Step 0→1: Production begins. Foraging, hunting, gathering — subsistence value capture. (~300 Kya)

Step 1→2: Transmission develops. Oral teaching of skills and knowledge. Culture can ACCUMULATE. (~300 Kya, with language)

Step 2→3: Exchange emerges. Trade between groups — gift exchange, reciprocity, barter. (~100 Kya)

Step 3→4: Diversity increases. Occupational specialization enabled by surplus. Potters, smiths, healers. (~10 Kya, Neolithic)

Step 4→5: Territory stabilizes. Permanent settlements, land tenure, boundaries. Agriculture requires fixed location. (~10 Kya)

Step 5→6: Coordination formalizes. Institutional structures — chiefs, councils, temples. Beyond kinship-based cooperation. (~5 Kya)

Step 6→7: Governance codifies. Written laws, courts, taxation, bureaucracy. The state. (~5 Kya, Mesopotamia)

Step 7→8: Connectivity extends. Diplomatic networks, trade routes across civilizations. Inter-polity coordination. (~3 Kya)

Step 8→9: Succession accelerates. Deliberate innovation cycles, scientific method, creative destruction. (~500 years ago)

8.2 Match to historical record

The model predicts the broad historical ordering. Matches archaeological and historical evidence.

8.3 The collapse walk (civilizational decline)

Full → lose Sc (innovation stops) → lose Ct (connectivity breaks) → lose Gv (governance collapses)
  → lose Cd (coordination fragments) → lose Dv (specialization lost, generalists survive)
    → lose Te (territorial structure dissolves) → lose Ex (trade collapses to barter)
      → lose Tr (knowledge lost — Dark Age) → lose Pr (subsistence failure)

This matches historical collapse patterns (Western Roman Empire, Bronze Age collapse):

1. First: innovation slows and stops
2. Then: trade networks and diplomatic connections break
3. Then: central governance collapses
4. Then: institutional coordination fragments
5. Then: specialized occupations disappear (the "lost knowledge" phenomenon)
6. Finally: territorial structure dissolves, exchange reverts to barter, and accumulated knowledge is lost

The most recently developed capabilities are the most fragile — same pattern as cognitive degradation and neural hardware degradation.

Step 9 — Load-Bearing Compositions

9.1 Core triad: {Pr, Ex, Tr}

The metabolic core — production, exchange, and transmission are the cultural ecosystem's metabolism. Value captured, value circulated, knowledge accumulated.

9.2 Load-bearing triangles

{Pr, Dv, Cd} — Organized production. "How does complex production happen?" → Production (Pr) with diverse specialists (Dv) who coordinate (Cd). This is the FIRM/ORGANIZATION triangle — the structural basis of collective productive activity. From hunter-gatherer task allocation to modern corporations.

{Ex, Gv, Ct} — Regulated trade. "How does trade work at scale?" → Exchange (Ex) regulated by governance (Gv) across connected communities (Ct). This is the MARKET triangle — the structural basis of economic integration. From Phoenician trading cities to WTO.

{Tr, Dv, Sc} — Innovation. "How does culture advance?" → Transmission (Tr) of diverse knowledge (Dv) producing new combinations (Sc). This is the INNOVATION triangle — diverse knowledge transmitted and recombined drives cultural succession. From craft tradition evolution to the scientific revolution.

{Gv, Te, Ct} — Geopolitics. "How do large-scale political structures work?" → Governance (Gv) over defined territory (Te) with connections to other governed territories (Ct). This is the STATE SYSTEM triangle — the political structure of civilization. From city-state systems to the UN.

9.3 The two sub-systems

Material sub-system: {Pr, Ex, Te, Ct} — production, exchange, territory, connectivity. The ECONOMIC sub-system. How material value flows.

Symbolic sub-system: {Tr, Dv, Cd, Gv, Sc} — transmission, diversity, coordination, governance, succession. The INSTITUTIONAL sub-system. How social structure evolves.

These two interact through all cross-system pairs. The material sub-system provides the RESOURCE BASE; the institutional sub-system provides the ORGANIZATIONAL STRUCTURE. Neither works without the other — economy without institutions is chaos; institutions without economy are empty.

Step 10 — Emergent Property Predictions

10.1 Properties at specific regimes

10.2 Threshold predictions

Pr2 + Tr3 (surplus + writing) predicts state formation. Agricultural surplus + writing together predict the emergence of formal governance (Gv3). Testable: all primary state formations (Mesopotamia, Egypt, Indus, China, Mesoamerica, Andes) had both. No state formed without both.

Ex3 + Gv3 (markets + law) predicts long-distance trade. Currency-based markets + codified law together predict sustained long-distance trade networks (Ct3+). Testable: all major ancient trade networks (Silk Road, Mediterranean, Indian Ocean) emerged from regions with both.

Tr4 + Dv4 + Sc4 (printing + specialization + innovation) predicts scientific revolution. Mass reproducible knowledge + high specialization + deliberate innovation together predict systematic scientific knowledge production. Testable: scientific revolution occurred where all three were present (Western Europe 1600-1700) and not where any was absent.

Step 11 — Structural Pattern Observations

11.1 The ecosystem parallel

Near-isomorphic. Same primitive count, parallel core triads, same hub, similar filters, matching build-up/degradation dynamics. The cultural ecosystem IS a biological ecosystem operating through symbolic rather than physical transfer.

11.2 What differs

Transfer medium: Biological — physical (energy, matter). Cultural — symbolic + physical (information, goods, services). The symbolic component makes cultural transfer FASTER but LOSSIER.

Succession timescale: Biological — geological (10⁴-10⁶ years per major transition). Cultural — historical (10²-10³ years per major transition). Cultural ecosystems evolve ~1000× faster than biological ecosystems because symbolic transmission is faster than genetic transmission.

Governance mechanism: Biological — emergent (trophic regulation emerges from predator-prey dynamics). Cultural — DESIGNED (governance is deliberately constructed, codified, reformed). Cultural ecosystems have INTENTIONAL governance; biological ecosystems have only emergent regulation.

11.3 The filter tightness

The cultural ecosystem's 8.8% filter is the tightest of any 9-primitive domain. This reflects FRAGILITY — cultural ecosystems require many primitives simultaneously to function. Remove governance and coordination collapses. Remove connectivity and trade networks break. Remove diversity and innovation stops.

Biological ecosystems (~12%) are slightly looser because biological organisms are more self-sufficient (an organism can survive without the ecosystem, at reduced fitness). Cultural actors are MORE dependent on the ecosystem (a human without cultural ecosystem cannot maintain specialized knowledge or institutional access).

Step 12 — Literature Alignment and Cross-Domain Mapping

12.1 Literature alignment

12.2 Cross-domain mapping to cognitive architecture (surface → ecosystem)

Step 13 — Activation mapping and reconciliation

Filter — VERIFIED CORRECT (#44-class: value-correct, model-divergent). The §7 hand-derivation (45/512 = 8.8%) is correct: an independent BFS over the canonical §4/§7 dependency model = exactly 45/512 = 8.79%, matching the stored filter_stringency. However the v1 JSON dependency model had diverged from §4/§7 — Tr→Cd (should be Tr→Pr), Ct→Ex (should be Ct→Te,Dv), and missing Cd→Dv, Gv→Ex, Sc→Pr — and would have BFS'd to 98, not 45. The JSON dependencies were reconciled to the canonical §4/§7 model (11 presence deps, hub Pr; the 3 conditional-partial-level deps retained, §3.1/§3.3/§3.6/§10.2-grounded), restoring JSON↔value↔analysis consistency. The stored value was never changed (it was already right — like cognitive-substrate).

Ecosystem-class convergence — NEGATIVE RESULT (task #7). The biology-ecosystem and digital-ecosystem domains both BFS to exactly 37/512 = 7.23% (a Cm-domain convergence found in the entity+biology passes). Cultural-ecosystem = 45/512 = 8.79% does NOT join this convergence: the ~7.23% Cm-domain convergence is 2-of-3 (biology + digital), not a universal ecosystem-class law. Cultural-ecosystem is the looser outlier — its deep Pr→Dv→Cd→Gv→Sc depth-4 chain constrains the lattice differently from the biology/digital Cm-domains. §11.1's "~12%" biology-ecosystem estimate is also stale (actual BFS 7.23%); the genuine cross-substrate pattern is biology=digital at 7.23%, cultural at 8.79%.

Activation mapping (data/domains/cultural-ecosystem.v1.json, all discriminating; #31 domain rule). This domain HAS a Step-10 emergent layer (§10.2 threshold predictions). Emergents: the §9.1 core triad {Pr,Ex,Tr} (presence τ — metabolic core, no §10 joint threshold; core-triad rule); the four §9.2 load-bearing triangles — {Pr,Dv,Cd} "Organized production" (presence τ), {Ex,Gv,Ct} "Regulated trade" (τ Ex3,Gv3,Ct3 — folds in the §10.2 {Ex,Gv}@Ex3,Gv3→Ct3+ long-distance-trade prediction, one-home), {Tr,Dv,Sc} "Innovation" (τ Tr4,Dv4,Sc4 — the §10.2 scientific-revolution threshold; §9.2 triangle and §10.2 row coincide → direct map), {Gv,Te,Ct} "Geopolitics" (presence τ); a Pr-Tr pair emergent (τ Pr2,Tr3 — the §10.2 state-formation prediction; Pr-Tr is a §5-6 heavy pair added to the v1-abbreviated pair list, a #33 Step-10-requires-construct add); and a full-9 composition (presence τ). Non-over-flag: no single-primitive Step-10 driver rows exist → no partial_level.emergent; the §9.3 sub-systems ({Pr,Ex,Te,Ct} material / {Tr,Dv,Cd,Gv,Sc} institutional) are structural decomposition, not §10 emergent units → no emergent (gradient default). The v1 JSON compositions {Cd,Gv,Sc} "institutional triad" was a partial slice of the §9.3 institutional sub-system, NOT a §9.2 load-bearing triangle — removed (#48-class compositions divergence; the v1 core {Pr,Ex,Tr} was correct and retained). Eight §3.x phase transitions flagged (Pr3,Ex3,Tr3,Dv3,Cd3,Gv3,Te3,Ct3; #40-class fidelity, no emergents — descriptive metadata, not gate-consumed); Sc's §3.8 Sc3→Sc4 transition has no clean home in the JSON's compressed 5-level Sc scheme (level 4 = "Full Sc" ≈ analyst Full, not Sc4) → flag deliberately NOT fabricated there (#19), documented.

Summary

Primitives

Key structural features

• Filter: 8.8% (45/512) — tightest 9-primitive domain, reflecting cultural ecosystem fragility
• Hub: Pr (Production) — everything depends on value creation
• Core triad: {Pr, Ex, Tr} — the cultural metabolism (produce, exchange, transmit)
• Heavy pair ratio: 31% (11/36) — moderate, reflecting the chain-like dependency structure
• Two sub-systems: Material {Pr,Ex,Te,Ct} + Institutional {Tr,Dv,Cd,Gv,Sc}
• Build-up matches archaeological/historical record — Pr→Tr→Ex→Dv→Te→Cd→Gv→Ct→Sc
• Collapse reverses build-up — innovation stops first, production fails last
• Near-isomorphic to biological ecosystem — same primitive count, parallel core triads, same hub
• Key difference from biological: symbolic (not just physical) transfer medium, ~1000× faster succession, DESIGNED (not just emergent) governance
• Four attractor positions: subsistence band, agrarian civilization, industrial nation-state, global knowledge society

Referenced by the model

Cited as a source by 1 model record (browse the model census):

• cultural-ecosystem — domain cognition/sc1