Lay Theories of Personality: Cornerstones of Meaning in Social Cognition
Bibliographic record
Abstract
Abstract Lay theories (or ‘implicit theories’) are cornerstones for social cognition: people use lay theories to help them make sense of complex and ambiguous behavior. In this study, we describe recent research on the entity and incremental theories (the belief that personality is fixed or malleable). In so doing, we demonstrate that each theory does not act alone. Instead, each is associated with a set of allied beliefs, the sum total of which cohere into two distinct meaning systems . We present evidence that these meaning systems produce systematic differences in a range of fundamental social cognition processes, with important implications for the field’s understanding of trait/situation attribution, moral judgment, person memory, and stereotyping. We further argue that because meaning systems serve a central meaning‐making function, people are motivated to believe that the meaning system they are using is effective and accurate. Accordingly, we present evidence that people exhibit processing distortions and compensatory mechanisms to minimize the impact of information that violates their meaning system. We discuss the implications of these findings for the field’s understanding of basic social cognition.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".