Files
markitect-main/examples/infospace-with-history/output/evaluations/wood_price.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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3.7 KiB
Markdown

---
entity_slug: wood_price
evaluator: null
evaluated_at: '2026-02-23T06:39:38.341634'
overall_score: 4.2
scores:
- name: definition_precision
value: 4.0
max_value: 5.0
rationale: The definition clearly distinguishes wood price as the market price of
timber and firewood, with specific causal mechanisms (agriculture advancement
reducing forest land leading to scarcity and price increases). It avoids circularity
and captures a distinct economic phenomenon rather than a vague concept.
- name: source_grounding
value: 5.0
max_value: 5.0
rationale: This entity is directly grounded in Smith's text from Book I, Chapter
11, where he explicitly discusses wood prices in relation to coal demand and examines
how agricultural development affects timber scarcity. The relationship between
wood and coal as alternative fuel sources is a clear theme in the source material.
- name: domain_placement
value: 5.0
max_value: 5.0
rationale: The "Production" domain assignment is correct, as wood price relates
directly to the production and supply of timber resources, and Smith analyzes
it within the context of productive land use and resource allocation. This fits
naturally within production economics rather than exchange or distribution.
- name: vsm_relevance
value: 3.0
max_value: 5.0
rationale: Wood price has moderate VSM relevance, primarily mapping to S4 (intelligence/environmental
adaptation) as it represents market signals about resource scarcity that guide
economic decision-making. However, it's more of a market outcome than a systemic
function, making the VSM mapping somewhat indirect.
- name: explanatory_value
value: 4.0
max_value: 5.0
rationale: This entity provides genuine explanatory power by illuminating the mechanism
of resource substitution (wood vs. coal) and how land use changes affect commodity
prices. It reveals structural relationships between agricultural development,
resource scarcity, and market pricing rather than merely naming a surface phenomenon.
---
# Evaluation: Wood Price
## definition_precision — 4.0 / 5.0
The definition clearly distinguishes wood price as the market price of timber and firewood, with specific causal mechanisms (agriculture advancement reducing forest land leading to scarcity and price increases). It avoids circularity and captures a distinct economic phenomenon rather than a vague concept.
## source_grounding — 5.0 / 5.0
This entity is directly grounded in Smith's text from Book I, Chapter 11, where he explicitly discusses wood prices in relation to coal demand and examines how agricultural development affects timber scarcity. The relationship between wood and coal as alternative fuel sources is a clear theme in the source material.
## domain_placement — 5.0 / 5.0
The "Production" domain assignment is correct, as wood price relates directly to the production and supply of timber resources, and Smith analyzes it within the context of productive land use and resource allocation. This fits naturally within production economics rather than exchange or distribution.
## vsm_relevance — 3.0 / 5.0
Wood price has moderate VSM relevance, primarily mapping to S4 (intelligence/environmental adaptation) as it represents market signals about resource scarcity that guide economic decision-making. However, it's more of a market outcome than a systemic function, making the VSM mapping somewhat indirect.
## explanatory_value — 4.0 / 5.0
This entity provides genuine explanatory power by illuminating the mechanism of resource substitution (wood vs. coal) and how land use changes affect commodity prices. It reveals structural relationships between agricultural development, resource scarcity, and market pricing rather than merely naming a surface phenomenon.