CAMS v1.1 Blind Test — Named Scientific Assessment

1. Executive Summary

The CAMS v1.1 blind test validated eight anonymized societies against a mathematical civilizational model. Core formulas — institutional health, bond strength, and cognitive activation — passed at machine precision. The eight societies were revealed as Germany, Norway, Russia, UK, Chile, Poland, Argentina, and Australia.

The model introduces a "national personality" vector: each of eight institutional nodes (Archive, Craft, Shield, etc.) scores a cognitive-affective value P = (A × C) × (K − S). The UK emerges as the "elite performer" — every node positive, Archive at +250, never hitting collapse across 147 years. Germany is the "stable consolidator" with 73% of years in stable health. Norway is "agile but fragile" — exceptional economic adaptability (Flow +131) but weak coercive capacity (Shield +11).

Russia shows "militarized stagnation": Shield dominates at +99 while productive nodes are negative or near-zero, with 41% of years in local institutional failure. Poland is the only "chronic distress" society — every personality node is negative, with nearly half its years strained and 28% in systemic crisis. Argentina is a "fragile equilibrium" with no stable consolidation years. Australia is "recovering mixed" — strong knowledge and exchange, but the weakest governing authority among Western democracies.

2. National Personality Centroids

The personality vector P_i(t) = (A_i · C_i)(K_i − S_i) is verified against the existing cognitive activation s_i at max error 1.14 × 10⁻¹³. It is a valid algebraic re-embedding — not new information, but a psychometric rotation that makes civilizational health readable in intuitive terms.

Figure 1. National Personality Centroids — P_i(t) = (A_i · C_i)(K_i − S_i). Green = positive cognitive surplus; red = negative cognitive deficit. UK Archive (+250) is the highest value in the dataset; Poland Helm (−33.6) is the lowest.

3. Regime Classification

The classifier assigns each society-year to one of six regimes: Stable Adaptive, Strained, Local Node Failure, Systemic Crisis, Phantom Type II, Freeze/Collapse. Across 1,201 society-years, the classifier achieved 100% coverage with zero unclassified records and zero multi-label cases.

Figure 2. Regime Distribution: Blind Test (1,201 years) vs CAMS v1.1 Corpus (2,532 years). The +8% Strained over-representation in the blind test is consistent with the JUNO design selecting historically volatile societies.

Figure 3. Civilizational Regime Profiles by Country. Germany and UK are dominated by Stable Adaptive (green). Poland and Argentina show no stable consolidation. Russia is the only society with sustained Phantom Type II (purple) and high Local Node Failure (orange).

4. System Health Range (V_mean)

V_mean = ⅛∑V_i is the system-level health score. The range from minimum to maximum V_mean across each country's timeline reveals the depth of institutional resilience.

Figure 4. V_mean Range by Country. Red triangles = minimum (institutional floor); green triangles = maximum (institutional ceiling). The UK never drops below V_mean = 7.2 — the only society with zero Systemic Crisis and zero Freeze/Collapse. Germany's floor (−4.5) is the lowest among Western democracies, reflecting the 1918–1945 collapse-and-recovery arc.

5. Epiphenomenon Predictions — 232 Inflection Points

The model identified 232 structural inflection points — moments when the system crosses a threshold. Using the MOD-1v2 node-aware collapse classifier and MOD-3 lambda₂-conditioned peak-stability disambiguator, these were mapped to predicted observable outcomes (epiphenomena).

Figure 5. Epiphenomenon Predictions — 232 Inflection Points. Economic Shock (EP-3, 32.3%) and Recovery (EP-1/EP-2, 31.0%) are the dominant outcomes. Armed Conflict (EP-4) is rare (1.7%). MOD-1v2 pushes COLLAPSE accuracy from 25% to 75%.

6. Cognitive Exhaustion vs Institutional Failure

The s_min floor (most negative cognitive activation) vs V_min floor (weakest node) reveals which societies operate closest to the Local Node Failure and Freeze/Collapse thresholds. Color = V_{mean span (max − min), indicating institutional volatility.}

Figure 6. Cognitive Exhaustion vs Institutional Failure. Poland is the outlier: deepest s_min (−2.40) and deep V_min (−4.0). The UK is the most resilient: shallow s_min (−1.23) and shallow V_min (−0.5). Argentina sits above the LNF threshold despite low absolute values — a "fragile equilibrium" signature.

7. Key Findings Table

8. Scientific Commentary

On the National Cognition Thesis

The personality vector is a valid re-embedding of the existing CAMS phase-space, not a distinct theoretical construct. It is algebraically derivable from s_i and provides sign interpretability (positive = surplus, negative = deficit) and magnitude interpretability (|P_i| = cognitive-affective intensity). The verdict: structurally real within the CAMS formalism, but a rotation, not an extension.

On Complex Adaptive Systems

The evidence is structurally compatible with the CAS hypothesis. Nonlinearity (products, sign functions, threshold cascades), emergence (six distinct regimes not reducible to single nodes), phase transitions (232 discontinuous inflection points), and network topology effects (raw Laplacian λ₂ required) are all present. However, the evidence is filtered through a model that already assumes CAS architecture. The most defensible claim: societies behave as if they are Complex Adaptive Systems under the CAMS measurement regime.

9. Outstanding Anomalies

• Argentina exclusion: Explicitly excluded from the EP layer per v1.1 §6.1 (Archive decay >40%, no multilingual prior). The 77-year window and suppressed Archive node are consistent with this exclusion.
• Poland's PT2 dominance: Highest Phantom Type II share (7.2%) in the test. Some may be misclassified Strained episodes — the PT2/Strained boundary is sensitive.
• Australia's PT2 firings: Only Western democracy with PT2 episodes (post-1975 constitutional facade, post-2008 mining boom). Debatable classification.
• Bond Strength scaling: Canonical B_ij (α=16, β=1) does not reproduce file values. The old v-function uses α≈0.30, β≈0.046. Structural correlation (R=0.931) is sufficient for classification, but absolute cross-society comparisons are not valid until full corpus recomputation.