Files
markitect-main/examples/infospace-with-history/output/evaluations/agricultural_demand.md
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

3.4 KiB

entity_slug, evaluator, evaluated_at, overall_score, scores
entity_slug evaluator evaluated_at overall_score scores
agricultural_demand null 2026-02-23T00:26:18.797644 4.4
name value max_value rationale
definition_precision 4.0 5.0 The definition clearly distinguishes agricultural demand as market demand specifically for agricultural products, with clear causal links to prices and rents. It avoids circularity and captures a distinct economic concept, though it could be slightly more precise about what constitutes "agricultural products."
name value max_value rationale
source_grounding 5.0 5.0 This concept is thoroughly grounded in Book I, Chapter 11, where Smith extensively analyzes how demand for agricultural produce affects prices and consequently land rents. The entity accurately reflects Smith's detailed examination of agricultural markets and their dynamics.
name value max_value rationale
domain_placement 5.0 5.0 The "Exchange" domain is perfectly appropriate since agricultural demand fundamentally concerns market transactions between buyers and sellers of agricultural goods. This is a core exchange mechanism that Smith analyzes in detail.
name value max_value rationale
vsm_relevance 4.0 5.0 This entity maps well to S4 (intelligence/environmental adaptation) as it represents market intelligence about demand patterns that agricultural producers must adapt to. It also has some S1 relevance as it directly affects primary agricultural operations.
name value max_value rationale
explanatory_value 4.0 5.0 The entity provides genuine explanatory power by illuminating the causal mechanism linking market demand to agricultural prices and land rents. It captures a key structural relationship in Smith's analysis of how agricultural markets function and affect resource allocation.

Evaluation: Agricultural Demand

definition_precision — 4.0 / 5.0

The definition clearly distinguishes agricultural demand as market demand specifically for agricultural products, with clear causal links to prices and rents. It avoids circularity and captures a distinct economic concept, though it could be slightly more precise about what constitutes "agricultural products."

source_grounding — 5.0 / 5.0

This concept is thoroughly grounded in Book I, Chapter 11, where Smith extensively analyzes how demand for agricultural produce affects prices and consequently land rents. The entity accurately reflects Smith's detailed examination of agricultural markets and their dynamics.

domain_placement — 5.0 / 5.0

The "Exchange" domain is perfectly appropriate since agricultural demand fundamentally concerns market transactions between buyers and sellers of agricultural goods. This is a core exchange mechanism that Smith analyzes in detail.

vsm_relevance — 4.0 / 5.0

This entity maps well to S4 (intelligence/environmental adaptation) as it represents market intelligence about demand patterns that agricultural producers must adapt to. It also has some S1 relevance as it directly affects primary agricultural operations.

explanatory_value — 4.0 / 5.0

The entity provides genuine explanatory power by illuminating the causal mechanism linking market demand to agricultural prices and land rents. It captures a key structural relationship in Smith's analysis of how agricultural markets function and affect resource allocation.