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>
3.2 KiB
entity_slug, evaluator, evaluated_at, overall_score, scores
| entity_slug | evaluator | evaluated_at | overall_score | scores | |||||||||||||||||||||||||||||||||||||||||||||
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| coal_heaver | null | 2026-02-23T04:43:29.357053 | 4.0 |
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Evaluation: Coal Heaver
definition_precision — 4.0 / 5.0
The definition is precise and specific, clearly identifying coal-heavers as laborers who unload coal from ships and noting their specific wage premium (4-5 times common labor). It captures a distinct occupational category rather than a vague concept.
source_grounding — 5.0 / 5.0
This entity is directly grounded in Smith's text from Book I, Chapter 10, where he explicitly discusses coal-heavers as an example of how disagreeable and irregular work commands higher wages. The wage multiple cited appears to come directly from Smith's analysis.
domain_placement — 4.0 / 5.0
The "Distribution" domain is appropriate since this relates to wage determination and how labor compensation varies based on working conditions. However, it could arguably fit in a labor market or wage theory subdomain if one existed.
vsm_relevance — 2.0 / 5.0
Coal-heavers represent a specific type of worker rather than a systemic function, making them largely VSM-neutral. They don't naturally map to any particular VSM system (S1-S5) as they are an empirical example rather than a structural element.
explanatory_value — 5.0 / 5.0
This entity provides excellent explanatory value by illustrating the concrete mechanism of how multiple negative job characteristics (arduous, dirty, irregular) combine to drive wages significantly above market averages. It demonstrates Smith's theory of compensating wage differentials in action.