feat(example): add per-entity LLM evaluations for 985 WoN entities (S3.3)
Batch evaluation of all 988 entities via OpenRouter. 984 succeeded on first pass; 3 failed (network errors). eval-summary --update-metrics written with per_entity_mean=3.9556. Viability dashboard: 6/6 PASS redundancy_ratio 0.0061 (max 0.10) coverage_ratio 0.6190 (min 0.40) coherence_comps 0.0000 (max 3) consistency_cycles 0.0000 (max 0) granularity_entropy 2.6748 (min 1.0) per_entity_mean 3.9556 (min 3.5) Dimension breakdown (mean across 985 entities): definition_precision 3.62 source_grounding 4.36 domain_placement 4.56 vsm_relevance 3.31 explanatory_value 3.94 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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---
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entity_slug: economic_geography_determinism
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evaluator: null
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evaluated_at: '2026-02-23T05:10:29.821204'
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overall_score: 4.4
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scores:
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- name: definition_precision
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value: 4.0
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max_value: 5.0
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rationale: The definition clearly distinguishes between geographical features determining
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economic patterns versus merely influencing them, and specifies the mechanisms
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(market extent, division of labour). The concept is well-bounded and avoids circularity.
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- name: source_grounding
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value: 5.0
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max_value: 5.0
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rationale: This directly reflects Smith's explicit argument in Book I, Chapter 3
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about how water-carriage determines the initial location of industry and the sequence
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of economic development from coastal to inland areas. The deterministic framing
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accurately captures Smith's strong causal claims.
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- name: domain_placement
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value: 5.0
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max_value: 5.0
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rationale: '"General Theory" is the correct domain placement as this represents
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a fundamental theoretical principle about how geography shapes economic development
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patterns, rather than a specific mechanism or policy application.'
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- name: vsm_relevance
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value: 4.0
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max_value: 5.0
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rationale: This maps well to S4 (intelligence/environmental adaptation) as it concerns
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how economic systems must adapt to and work within geographical constraints and
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opportunities. It represents a key environmental factor that shapes system viability.
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- name: explanatory_value
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value: 4.0
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max_value: 5.0
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rationale: This provides genuine explanatory power by identifying geography as a
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structural determinant of economic possibilities, helping explain why certain
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development patterns emerge and why market extent varies systematically across
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locations.
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---
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# Evaluation: Economic Geography Determinism
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## definition_precision — 4.0 / 5.0
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The definition clearly distinguishes between geographical features determining economic patterns versus merely influencing them, and specifies the mechanisms (market extent, division of labour). The concept is well-bounded and avoids circularity.
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## source_grounding — 5.0 / 5.0
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This directly reflects Smith's explicit argument in Book I, Chapter 3 about how water-carriage determines the initial location of industry and the sequence of economic development from coastal to inland areas. The deterministic framing accurately captures Smith's strong causal claims.
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## domain_placement — 5.0 / 5.0
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"General Theory" is the correct domain placement as this represents a fundamental theoretical principle about how geography shapes economic development patterns, rather than a specific mechanism or policy application.
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## vsm_relevance — 4.0 / 5.0
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This maps well to S4 (intelligence/environmental adaptation) as it concerns how economic systems must adapt to and work within geographical constraints and opportunities. It represents a key environmental factor that shapes system viability.
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## explanatory_value — 4.0 / 5.0
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This provides genuine explanatory power by identifying geography as a structural determinant of economic possibilities, helping explain why certain development patterns emerge and why market extent varies systematically across locations.
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