Ternary Consciousness Model

Why does Babylon model consciousness as a ternary simplex, and what does this enable?

Feature 034 replaces the stipulated scalar CommunityConsciousness (three independent fields) with a 2-simplex model where r + l + f = 1.0. This document explains the theoretical motivation, the geometric structure, and the design trade-offs.

The Problem with Stipulated Consciousness 

The original consciousness model (Features 022 and 029) stored three independent fields per community:

collective_identity — oppositional consciousness [0, 1]
dominant_tendency — LIBERAL, FASCIST, or REVOLUTIONARY
ideological_contestation — debate intensity [0, 1]

These fields had no material referent. A community’s collective_identity was set by a designer and modified by formulas, but nothing in the simulation derived consciousness from observable material conditions. The dominant tendency was an enum that could only change through direct assignment, not through the aggregation of organizational activity.

This creates a modeling problem: stipulated consciousness cannot respond organically to the organizational landscape. If a community’s organizations are all liberal CSOs, but the designer set dominant_tendency = REVOLUTIONARY, the model silently carries that contradiction.

The 2-Simplex Model 

Feature 034 models consciousness as a point in the 2-simplex — a triangle whose three vertices represent the three directions consciousness can take under crisis:

r (revolutionary) — Oppositional collective identity, independent power. Distance from the liberal-fascist base of the triangle.
l (liberal) — Seeks inclusion in existing institutions without transforming them. The default when no organizations are active.
f (fascist) — Collaboration with hegemonic order for individual escape.

The simplex constraint r + l + f = 1.0 means these are not three independent quantities. They are shares of a single whole: the community’s total consciousness. Increasing one component necessarily decreases the others. This geometric constraint eliminates the possibility of a community being simultaneously 90% revolutionary and 90% fascist — a state the old model could represent but that has no political meaning.

The old fields become computed properties of the simplex position:

collective_identity equals r — oppositional consciousness is the revolutionary component.
dominant_tendency is the argmax of (r, l, f), with ties broken in favor of liberal (the structural advantage of the status quo).
ideological_contestation is the normalized Shannon entropy of (r, l, f): H(r, l, f) / log(3). A pure position (one component = 1.0) has zero entropy; a uniform distribution (r = l = f = 1/3) has maximum entropy.

Organizational Landscape Derivation 

The central design choice: consciousness is not stipulated but derived from the organizational landscape operating within the community. Organizations are the agents of consciousness formation.

The function compute_ternary_consciousness() implements this derivation:

Sum weighted contributions. Each organization contributes to its tendency vertex with weight membership_density * cadre_level * cohesion. A large, disciplined, cohesive organization pulls harder than a small, fragmented one.
Unorganized fraction defaults to liberal. The population not claimed by any organization is assigned to the liberal vertex. This follows George Jackson’s insight: passive acceptance of the existing order is liberal hegemony. You have to actively organize to leave liberalism.
Normalize to simplex. The raw contributions are scaled so that r + l + f = 1.0.
Apply substrate floor. If the normalized r falls below the community’s substrate floor, r is raised to the floor and l and f are proportionally redistributed in the remaining space.

This means consciousness responds dynamically to organizational changes: if revolutionary organizations are destroyed by state repression, the community’s r drops. If liberal CSOs expand their membership, l increases. The model tracks real organizational activity, not designer stipulations.

Substrate Floor 

Some communities carry a minimum level of revolutionary consciousness that persists even when all organizations are destroyed. This is the substrate floor — the grandmother who teaches her grandchild not to talk to cops, the survival knowledge transmitted through socialization rather than formal organization.

Each of the 14 community types has a SubstrateFloor entry with:

floor_value — the minimum r regardless of org landscape.
confidence — a ProvenanceLevel (HIGH, MEDIUM, LOW, SYNTHETIC) indicating data quality.
data_sources — named proxy datasets used to estimate the floor.
computation_method — how the floor was derived from those proxies.

Communities with the highest substrate floors are those whose material experience of oppression is most intense:

INCARCERATED (0.18, MEDIUM) — Stripped of all pretense of inclusion. Proxy: Vera Institute incarceration rates.
NEW_AFRIKAN and FIRST_NATIONS (0.12, MEDIUM) — Centuries of settler-colonial oppression. Proxies: Vera incarceration + Chetty mobility atlas.
UNDOCUMENTED (0.10, LOW) — Legal exclusion from protections.

Hegemonic and lifecycle communities (SETTLER, PATRIARCHAL, YOUTH, ADULT) have floor 0.0 — no accumulated substrate revolutionary consciousness. ELDER has 0.02, reflecting generational memory transmission.

See SubstrateFloor and SUBSTRATE_FLOOR_DEFAULTS for the complete table.

The Assimilation Trap 

The ternary model exposes a pattern invisible to the old scalar model: the assimilation trap. This is the condition where a community has nominal solidarity edges but low revolutionary consciousness — the Democratic Party coalition pattern.

The assimilation_ratio property (f / (l + f)) measures how much of the non-revolutionary consciousness is fascist. But the deeper metric is the simplex position itself: a community with r < 0.3 is in the danger zone where solidarity edges appear on the graph but would collapse under crisis.

Feature 034 marks solidarity edges where the effective collective identity (min of both endpoints) falls below 0.3 as crisis-fragile. The BifurcationResult tracks two new fields:

mean_assimilation_ratio_marginalized — the mean f / (l + f) across marginalized communities.
crisis_fragile_edge_count — how many solidarity edges are marked crisis-fragile.

These metrics quantify the gap between nominal and effective solidarity. A high crisis_fragile_edge_count relative to total solidarity edges signals an assimilation trap: the movement looks connected but would fragment under crisis.

See George Jackson Bifurcation Model for the broader theory of the assimilation trap and how it connects to the bifurcation topology analysis.

Anisotropic Observation Error 

The state does not observe all components of consciousness equally. Liberal and fascist consciousness are expressed through legible channels — voting, public discourse, media consumption, organizational membership in legal entities. Revolutionary consciousness is hidden: it operates through informal networks, oral tradition, and practices designed to evade surveillance.

The function anisotropic_observation_error() models this asymmetry. It applies Gaussian noise to a consciousness position with different standard deviations per component:

r (revolutionary): stddev = 0.06 — high observation error.
l/f ratio: stddev = 0.02 — the state observes the liberal-fascist split relatively well, but struggles to measure r.

The noise is applied in two steps: first perturbing r directly, then perturbing the l/f ratio within the remaining space (1 - r). The result is re-normalized to a valid simplex point.

This means the state systematically underestimates or overestimates revolutionary potential. A community with true r = 0.5 might appear to the state as r = 0.38 or r = 0.62 — a significant range that affects repression targeting decisions. Meanwhile, the state’s estimate of whether the non-revolutionary population is liberal or fascist is relatively accurate.

Backward Compatibility 

CommunityConsciousness in community is now a type alias for TernaryConsciousness. All existing code that constructs CommunityConsciousness with the old keyword arguments (collective_identity, dominant_tendency, ideological_contestation) continues to work via the legacy construction path in the model validator.

Three construction paths are supported:

Native: TernaryConsciousness(r=0.5, l=0.3, f=0.2)
Legacy: TernaryConsciousness(collective_identity=0.5, dominant_tendency=LIBERAL, ideological_contestation=0.4)
Default: TernaryConsciousness() — uses default (r=0.3, l=0.6, f=0.1)

The legacy path converts old arguments to ternary coordinates: r = collective_identity, remaining (1 - r) split between l and f based on dominant_tendency, and ideological_contestation stored for backward-compatible property access.