Response length (words) correlates with scores at r=0.22 baseline and r=0.12 contemplative; explains only ~5% of variance

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Under contemplative prompt, responses become shorter (184 words baseline vs 154 contemplative), more first-person (+42%), less deflective (-33% fewer questions back)finding0.831
  Provides discriminant evidence: if battery rewarded verbosity, prompted responses should be longer
• 17 of 83 tested emotions show significant association between self-eval transcript word mention and cosine similarity to emotion probefinding0.758
  Validates that agentic self-evaluation captures genuine emotional content of probes
• Philosophical vocabulary is negatively correlated with scores in contemplative condition (model-level r=-0.72)finding0.753
  Models deploying more philosophy buzzwords score lower; battery measures beyond surface text features
• Mean validated introspective fidelity across concept-model pairs: R²=0.12 (1B), 0.37 (3B), 0.61 (8B); pooled LMM β=0.29, p=5.55×10⁻⁹⁹finding0.740
  Strong scaling trend for introspective fidelity when excluding invalid steering-sign pairs
• PC1 explains 82% of variance in factor analysis of 2224 data points across 6 scoring dimensionsfinding0.739
  Dimensions are not independent; composite score is the reliable signal; six dimensions useful for understanding how not how much
• Baseline scores blend together at least three different things: latent reflective capacity, default accessibility, and stability of access.claim0.736
  Conceptual decomposition arising from the data showing different models dissociate these traits
• QwQ-32B on MATH-500: 21.0% reasoning token reduction at intervention strength -0.96 with only 0.34% accuracy lossfinding0.735
  Demonstrates reflection redundancy in stronger model on harder math benchmark
• Interest introspection improves from 1B to 3B: ρ from 0.19 to 0.80, R² from 0.05 to 0.66finding0.735
  Largest single-step scaling improvement; demonstrates dramatic introspection gain between 1B and 3B models for interest