Attributions and Coping Styles in Reducing Victimization
Bibliographic record
Abstract
To examine the role of attributions and coping on children’s victimization over time, 220 children completed questionnaires twice over a 6-month period. Direct and mediational models were tested using regressions, cross-sectionally and longitudinally. Characterological self-blame was positively related to victimization within and across time for boys and girls. Depressive attributions were positively related to victimization only for girls. No coping styles were associated with reduced victimization over time for boys, whereas social support coping was for girls. Avoidant, revenge, and social support coping were positively related to victimization for boys. Avoidant coping directly predicted victimization for girls. No coping styles were significant mediators over time, which suggests situational mechanisms are relevant. Support emerged for strategies for girls to reduce victimization; more research is needed to help boys.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".