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

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3.4 KiB
Markdown

---
entity_slug: agricultural_demand
evaluator: null
evaluated_at: '2026-02-23T00:26:18.797644'
overall_score: 4.4
scores:
- name: definition_precision
value: 4.0
max_value: 5.0
rationale: 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: source_grounding
value: 5.0
max_value: 5.0
rationale: 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: domain_placement
value: 5.0
max_value: 5.0
rationale: 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: vsm_relevance
value: 4.0
max_value: 5.0
rationale: 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: explanatory_value
value: 4.0
max_value: 5.0
rationale: 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.