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>
3.5 KiB
entity_slug, evaluator, evaluated_at, overall_score, scores
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| pasture_land | null | 2026-02-23T06:04:45.190842 | 4.2 |
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Evaluation: Pasture Land
definition_precision — 4.0 / 5.0
The definition is clear and specific, identifying pasture land as land used for grazing livestock with rent determined by animal capacity and livestock product value. It avoids circularity and captures a distinct economic concept within Smith's agricultural analysis.
source_grounding — 5.0 / 5.0
This entity is directly grounded in Book I, Chapter 11, where Smith extensively analyzes different types of land use, including pasture land, and discusses how their rents are determined by productivity and market conditions. The concept is central to his discussion of agricultural economics.
domain_placement — 5.0 / 5.0
The "Production" domain assignment is entirely appropriate, as pasture land is a fundamental factor of production in Smith's analysis of agricultural output. It fits naturally within the broader category of land as a productive resource.
vsm_relevance — 3.0 / 5.0
Pasture land maps most naturally to S1 (primary operations) as a basic productive resource, but it's somewhat static as a concept and doesn't strongly engage with the dynamic regulatory or adaptive aspects that make VSM mapping particularly illuminating. It's more of a foundational input than a system component.
explanatory_value — 4.0 / 5.0
This entity provides genuine explanatory value by illuminating how different land uses compete economically and how rent mechanisms work across agricultural sectors. It helps explain the structural relationships between land productivity, market prices, and resource allocation decisions.