Files
markitect-main/examples/infospace-with-history/output/evaluations/bank_credit_cycles.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
bank_credit_cycles null 2026-02-23T00:37:51.279509 4.0
name value max_value rationale
definition_precision 4.0 5.0 The definition clearly describes a specific economic phenomenon - recurring patterns of credit expansion followed by contraction in banking systems. It avoids circularity and identifies the key mechanism of over-extension followed by corrective restriction.
name value max_value rationale
source_grounding 3.0 5.0 While Smith does discuss banking behavior and credit in Book II, Chapter 2, the specific framing of "cycles" as a recurring systemic pattern may impose a more modern analytical framework than Smith explicitly articulated. Smith focuses more on individual bank behaviors than cyclical patterns.
name value max_value rationale
domain_placement 5.0 5.0 "General Theory" is the appropriate domain placement as this concept deals with broad systemic patterns in banking and their economy-wide effects, rather than specific operational mechanisms or particular institutional arrangements.
name value max_value rationale
vsm_relevance 4.0 5.0 This entity maps well to S2 (coordination/anti-oscillation) as it directly concerns oscillatory behavior in the banking system that affects economic coordination. It also has relevance to S4 (intelligence) regarding how banks respond to environmental conditions.
name value max_value rationale
explanatory_value 4.0 5.0 The entity provides genuine explanatory power by identifying a structural mechanism that connects individual bank decision-making to broader economic effects. It illuminates how micro-level banking behaviors aggregate into macro-level economic patterns rather than merely naming a surface phenomenon.

Evaluation: Bank Credit Cycles

definition_precision — 4.0 / 5.0

The definition clearly describes a specific economic phenomenon - recurring patterns of credit expansion followed by contraction in banking systems. It avoids circularity and identifies the key mechanism of over-extension followed by corrective restriction.

source_grounding — 3.0 / 5.0

While Smith does discuss banking behavior and credit in Book II, Chapter 2, the specific framing of "cycles" as a recurring systemic pattern may impose a more modern analytical framework than Smith explicitly articulated. Smith focuses more on individual bank behaviors than cyclical patterns.

domain_placement — 5.0 / 5.0

"General Theory" is the appropriate domain placement as this concept deals with broad systemic patterns in banking and their economy-wide effects, rather than specific operational mechanisms or particular institutional arrangements.

vsm_relevance — 4.0 / 5.0

This entity maps well to S2 (coordination/anti-oscillation) as it directly concerns oscillatory behavior in the banking system that affects economic coordination. It also has relevance to S4 (intelligence) regarding how banks respond to environmental conditions.

explanatory_value — 4.0 / 5.0

The entity provides genuine explanatory power by identifying a structural mechanism that connects individual bank decision-making to broader economic effects. It illuminates how micro-level banking behaviors aggregate into macro-level economic patterns rather than merely naming a surface phenomenon.