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>
3.4 KiB
entity_slug, evaluator, evaluated_at, overall_score, scores
| entity_slug | evaluator | evaluated_at | overall_score | scores | |||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| inland_navigation_extent | null | 2026-02-23T05:37:22.037252 | 4.6 |
|
Evaluation: Inland Navigation Extent
definition_precision — 4.0 / 5.0
The definition clearly distinguishes inland navigation extent as a measurable geographical concept - the total area reachable by waterways. It avoids circularity and establishes a clear causal link to market size and division of labour.
source_grounding — 5.0 / 5.0
This entity is directly grounded in Smith's specific examples from Book I, Chapter 3, where he explicitly discusses the Nile, Ganges, and Chinese river systems as enabling extensive inland navigation and early economic development. The concept emerges naturally from Smith's comparative analysis.
domain_placement — 5.0 / 5.0
The "Exchange" domain is perfectly appropriate since inland navigation extent directly determines the geographical scope of markets and trade relationships. This is fundamentally about the infrastructure that enables exchange between distant producers and consumers.
vsm_relevance — 4.0 / 5.0
This entity maps well to S4 (intelligence/environmental adaptation) as it represents how economic systems adapt to and leverage geographical environmental features. It also connects to S1 as it affects the operational reach of primary economic activities.
explanatory_value — 5.0 / 5.0
This entity illuminates a crucial structural mechanism in Smith's theory - how geographical features create the physical infrastructure necessary for market expansion, which in turn enables greater division of labour. It explains why some civilizations developed economically earlier than others.