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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

3.1 KiB

Raw Blame History

entity_slug, evaluator, evaluated_at, overall_score, scores

entity_slug

evaluator

evaluated_at

overall_score

scores

anticipation_of_taxes

null

2026-02-23T00:34:20.611682

4.4

name	value	max_value	rationale
definition_precision	4.0	5.0	The definition clearly captures a specific financial practice - borrowing against future tax revenues before collection. It's precise and non-circular, though it could be slightly more specific about the mechanisms involved.

name	value	max_value	rationale
source_grounding	5.0	5.0	This entity is directly grounded in Smith's text, specifically describing his analysis of how governments borrow against annual land and malt taxes through clauses in the imposing acts. The concept emerges clearly from the source material.

name	value	max_value	rationale
domain_placement	5.0	5.0	"Regulation" is the correct domain placement as this describes a governmental financial practice that involves regulatory mechanisms and policy implementation. It fits naturally within the regulatory framework of public finance.

name	value	max_value	rationale
vsm_relevance	4.0	5.0	This maps well to S3 (internal regulation/audit) as it represents a regulatory mechanism for managing government cash flow and resource allocation. It also has some relevance to S4 (intelligence) as it involves anticipating future conditions.

name	value	max_value	rationale
explanatory_value	4.0	5.0	This entity illuminates an important structural mechanism in public finance - how governments manage temporal mismatches between spending needs and revenue collection. It reveals a fundamental aspect of fiscal operations rather than just naming a surface phenomenon.

Evaluation: Anticipation Of Taxes

definition_precision — 4.0 / 5.0

The definition clearly captures a specific financial practice - borrowing against future tax revenues before collection. It's precise and non-circular, though it could be slightly more specific about the mechanisms involved.

source_grounding — 5.0 / 5.0

This entity is directly grounded in Smith's text, specifically describing his analysis of how governments borrow against annual land and malt taxes through clauses in the imposing acts. The concept emerges clearly from the source material.

domain_placement — 5.0 / 5.0

"Regulation" is the correct domain placement as this describes a governmental financial practice that involves regulatory mechanisms and policy implementation. It fits naturally within the regulatory framework of public finance.

vsm_relevance — 4.0 / 5.0

This maps well to S3 (internal regulation/audit) as it represents a regulatory mechanism for managing government cash flow and resource allocation. It also has some relevance to S4 (intelligence) as it involves anticipating future conditions.

explanatory_value — 4.0 / 5.0

This entity illuminates an important structural mechanism in public finance - how governments manage temporal mismatches between spending needs and revenue collection. It reveals a fundamental aspect of fiscal operations rather than just naming a surface phenomenon.

3.1 KiB Raw Blame History