Self‐perceptions moderate the effect of implicit theories on preadolescent's attributions of their positive and negative social experiences
Bibliographic record
Abstract
Abstract Associations between implicit theories of personality, perceived social competence, and attributions to explain positive and negative outcomes in social tasks were examined in a study of 103 fifth‐ and sixth‐grade girls and boys. Consistent with the basic model formulated by Dweck and Leggett (1988), it was hypothesized that having an entity, rather than an incremental, perspective would vary as a function of the degree to which children had a positive view of their social competence. The results showed that an entity theory of personality was associated with emphasis on the importance of personal characteristics and task difficulty following social failure, whereas an incremental theory was associated with emphasis on the importance of task ease following social success. High scores on the positive perceived social competence measure were associated with emphasis on the importance of personal characteristics, effort and task ease following social success and the importance of personal characteristics, luck and task difficulty following social failure. Preadolescents with an entity theory of personality were less likely to make attributions of personal characteristics and task difficulty to social failure if they had a positive view of their social competence. Preadolescents with an incremental theory of personality were not likely to make these attributions about social failure regardless of whether they viewed their social competencies as positive. These findings indicate that the association between entity and incremental views and social attributions needs to be considered in conjunction with perceptions of the self. They provided support for Deck and Leggett's (1988) model.
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".