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>
3.1 KiB
entity_slug, evaluator, evaluated_at, overall_score, scores
| entity_slug | evaluator | evaluated_at | overall_score | scores | |||||||||||||||||||||||||||||||||||||||||||||
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| seignorage | null | 2026-02-23T06:20:48.080529 | 4.4 |
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Evaluation: Seignorage
definition_precision — 4.0 / 5.0
The definition clearly distinguishes seignorage as the specific difference between money's value and production costs, avoiding circularity. It precisely captures a distinct economic concept rather than being a vague umbrella term.
source_grounding — 5.0 / 5.0
Smith explicitly discusses seignorage in Book I, Chapter 5, examining how governments might use it as revenue and how it affects the relative values of coin versus bullion. The entity accurately reflects Smith's actual treatment of this concept.
domain_placement — 5.0 / 5.0
"Regulation" is the correct domain placement since Smith discusses seignorage primarily as a tool for government regulation of currency values and metal circulation. This fits perfectly within regulatory economic mechanisms.
vsm_relevance — 4.0 / 5.0
Seignorage maps well to S3 (internal regulation) as a mechanism for controlling monetary systems, and potentially to S4 (intelligence) regarding environmental adaptation of currency policy. It has clear VSM relevance rather than being too abstract.
explanatory_value — 4.0 / 5.0
The concept illuminates an important mechanism by which governments can influence monetary systems and the relationship between different forms of money. It explains structural relations in currency regulation rather than merely naming a surface phenomenon.