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

65 lines
3.5 KiB
Markdown

---
entity_slug: pasture_land
evaluator: null
evaluated_at: '2026-02-23T06:04:45.190842'
overall_score: 4.2
scores:
- name: definition_precision
value: 4.0
max_value: 5.0
rationale: The definition is clear and specific, identifying pasture land as land
used for grazing livestock with rent determined by animal capacity and livestock
product value. It avoids circularity and captures a distinct economic concept
within Smith's agricultural analysis.
- name: source_grounding
value: 5.0
max_value: 5.0
rationale: This entity is directly grounded in Book I, Chapter 11, where Smith extensively
analyzes different types of land use, including pasture land, and discusses how
their rents are determined by productivity and market conditions. The concept
is central to his discussion of agricultural economics.
- name: domain_placement
value: 5.0
max_value: 5.0
rationale: The "Production" domain assignment is entirely appropriate, as pasture
land is a fundamental factor of production in Smith's analysis of agricultural
output. It fits naturally within the broader category of land as a productive
resource.
- name: vsm_relevance
value: 3.0
max_value: 5.0
rationale: Pasture land maps most naturally to S1 (primary operations) as a basic
productive resource, but it's somewhat static as a concept and doesn't strongly
engage with the dynamic regulatory or adaptive aspects that make VSM mapping particularly
illuminating. It's more of a foundational input than a system component.
- name: explanatory_value
value: 4.0
max_value: 5.0
rationale: This entity provides genuine explanatory value by illuminating how different
land uses compete economically and how rent mechanisms work across agricultural
sectors. It helps explain the structural relationships between land productivity,
market prices, and resource allocation decisions.
---
# Evaluation: Pasture Land
## definition_precision — 4.0 / 5.0
The definition is clear and specific, identifying pasture land as land used for grazing livestock with rent determined by animal capacity and livestock product value. It avoids circularity and captures a distinct economic concept within Smith's agricultural analysis.
## source_grounding — 5.0 / 5.0
This entity is directly grounded in Book I, Chapter 11, where Smith extensively analyzes different types of land use, including pasture land, and discusses how their rents are determined by productivity and market conditions. The concept is central to his discussion of agricultural economics.
## domain_placement — 5.0 / 5.0
The "Production" domain assignment is entirely appropriate, as pasture land is a fundamental factor of production in Smith's analysis of agricultural output. It fits naturally within the broader category of land as a productive resource.
## vsm_relevance — 3.0 / 5.0
Pasture land maps most naturally to S1 (primary operations) as a basic productive resource, but it's somewhat static as a concept and doesn't strongly engage with the dynamic regulatory or adaptive aspects that make VSM mapping particularly illuminating. It's more of a foundational input than a system component.
## explanatory_value — 4.0 / 5.0
This entity provides genuine explanatory value by illuminating how different land uses compete economically and how rent mechanisms work across agricultural sectors. It helps explain the structural relationships between land productivity, market prices, and resource allocation decisions.