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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

3.0 KiB

Raw Blame History

entity_slug, evaluator, evaluated_at, overall_score, scores

entity_slug

evaluator

evaluated_at

overall_score

scores

bank_interest_rate_determination

null

2026-02-23T00:42:33.432863

4.0

name	value	max_value	rationale
definition_precision	4.0	5.0	The definition clearly describes a specific economic process - how banks set interest rates based on various factors. It avoids circularity and identifies distinct inputs (market conditions, risk, operational needs) and outputs (loan/deposit rates).

name	value	max_value	rationale
source_grounding	4.0	5.0	Smith does analyze banking operations and interest rate mechanisms in Book II, Chapter 2, examining how banks influence credit allocation and economic activity. The entity accurately reflects his discussion of banking's role in capital distribution.

name	value	max_value	rationale
domain_placement	5.0	5.0	"Exchange" is the correct domain placement since interest rate determination is fundamentally about the exchange of money over time and the pricing of credit in financial markets.

name	value	max_value	rationale
vsm_relevance	3.0	5.0	This entity spans multiple VSM systems - it involves S1 (operational lending), S2 (coordination of rates across markets), and S4 (environmental adaptation to market conditions). While VSM-relevant, it doesn't map cleanly to a single system.

name	value	max_value	rationale
explanatory_value	4.0	5.0	The entity illuminates a key mechanism in Smith's analysis - how interest rates serve as signals for capital allocation and affect economic efficiency. It explains the structural relationship between banking decisions and broader economic outcomes.

Evaluation: Bank Interest Rate Determination

definition_precision — 4.0 / 5.0

The definition clearly describes a specific economic process - how banks set interest rates based on various factors. It avoids circularity and identifies distinct inputs (market conditions, risk, operational needs) and outputs (loan/deposit rates).

source_grounding — 4.0 / 5.0

Smith does analyze banking operations and interest rate mechanisms in Book II, Chapter 2, examining how banks influence credit allocation and economic activity. The entity accurately reflects his discussion of banking's role in capital distribution.

domain_placement — 5.0 / 5.0

"Exchange" is the correct domain placement since interest rate determination is fundamentally about the exchange of money over time and the pricing of credit in financial markets.

vsm_relevance — 3.0 / 5.0

This entity spans multiple VSM systems - it involves S1 (operational lending), S2 (coordination of rates across markets), and S4 (environmental adaptation to market conditions). While VSM-relevant, it doesn't map cleanly to a single system.

explanatory_value — 4.0 / 5.0

The entity illuminates a key mechanism in Smith's analysis - how interest rates serve as signals for capital allocation and affect economic efficiency. It explains the structural relationship between banking decisions and broader economic outcomes.

3.0 KiB Raw Blame History