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tegwick a9ca0adfcf 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>

2026-02-23 09:36:46 +01:00

3.4 KiB

Raw Blame History

entity_slug, evaluator, evaluated_at, overall_score, scores

entity_slug

evaluator

evaluated_at

overall_score

scores

economic_development_spatial_patterns

null

2026-02-23T05:10:21.656054

4.0

name	value	max_value	rationale
definition_precision	4.0	5.0	The definition clearly identifies a distinct concept about geographical arrangements of economic activity based on specific factors (market access, transportation costs, division of labour). It avoids circularity and provides concrete examples of clustering patterns.

name	value	max_value	rationale
source_grounding	5.0	5.0	This entity is directly grounded in Smith's analysis from Book I, Chapter 3, which explicitly discusses how industry clusters along coasts and navigable rivers, how specialization relates to market size, and how isolation leads to economic backwardness.

name	value	max_value	rationale
domain_placement	4.0	5.0	The entity fits well within economic geography and development theory domains. While no specific domain is assigned, it clearly belongs in spatial economics or economic geography rather than pure theory or policy domains.

name	value	max_value	rationale
vsm_relevance	3.0	5.0	This entity has moderate VSM relevance, primarily mapping to S4 (intelligence/environmental adaptation) as it describes how economic systems adapt to geographical and infrastructural environments. It could also relate to S1 (operations) in terms of where primary economic activities locate.

name	value	max_value	rationale
explanatory_value	4.0	5.0	The entity provides genuine explanatory power by illuminating the structural mechanisms behind economic clustering and development patterns. It explains why certain locations become economically developed while others remain backward, going beyond mere description to identify causal factors.

Evaluation: Economic Development Spatial Patterns

definition_precision — 4.0 / 5.0

The definition clearly identifies a distinct concept about geographical arrangements of economic activity based on specific factors (market access, transportation costs, division of labour). It avoids circularity and provides concrete examples of clustering patterns.

source_grounding — 5.0 / 5.0

This entity is directly grounded in Smith's analysis from Book I, Chapter 3, which explicitly discusses how industry clusters along coasts and navigable rivers, how specialization relates to market size, and how isolation leads to economic backwardness.

domain_placement — 4.0 / 5.0

The entity fits well within economic geography and development theory domains. While no specific domain is assigned, it clearly belongs in spatial economics or economic geography rather than pure theory or policy domains.

vsm_relevance — 3.0 / 5.0

This entity has moderate VSM relevance, primarily mapping to S4 (intelligence/environmental adaptation) as it describes how economic systems adapt to geographical and infrastructural environments. It could also relate to S1 (operations) in terms of where primary economic activities locate.

explanatory_value — 4.0 / 5.0

The entity provides genuine explanatory power by illuminating the structural mechanisms behind economic clustering and development patterns. It explains why certain locations become economically developed while others remain backward, going beyond mere description to identify causal factors.

3.4 KiB Raw Blame History