The constructed Big Five corpus is substantially facet-consistent and context-grounded, well suited for studying fine-grained personality control

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

• Big Five Personality Taxonomyconcept0.773
  Personality taxonomy derived from aggregate statistics over language; noted as relevant to artificial psychology research on LLM personality attractors
• Training corpora may produce civilizational psychologies; cross-cultural mind is embedded in model training data.claim0.739
• A well-constructed pattern language has the fifteen properties embedded within it, giving it a driving force that makes geometrical wholeness more easily visible and attainableclaim0.729
  Connecting pattern language theory to the fifteen properties framework as its geometric substrate
• There may exist a natural 'persona basis' characterizing the space of all model personas, with correlations between persona vectors predicting co-expression of traitshypothesis0.728
  Open question proposed by authors for future work on the dimensionality and structure of persona space
• Baseline scores blend together at least three different things: latent reflective capacity, default accessibility, and stability of access.claim0.727
  Conceptual decomposition arising from the data showing different models dissociate these traits
• Embedding-based construct classifiers achieve mean accuracy and F1-macro of 95.96% across OCEAN, HEXACO, Dark Tetrad, CMNI, CFNI constructsfinding0.725
  Validates use of lightweight classifiers as replacement for frontier LLM evaluation during alpha sweeps
• The shape of the pretraining corpus is a direct lever on which traits a base model can expresshypothesis0.725
  Forward-looking hypothesis about pretraining data as mechanism for persona formation
• About Blank is the cleanest empirical case of the build-to-delegable-boundary pattern in the entire corpus.claim0.725