The mediating effect of coping on the relationship between high school victimization and psychological distress in early adulthood: Does social support reduce maladaptive coping?
Bibliographic record
Abstract
Victimized individuals are more likely to cope maladaptively, notably by avoiding the problem or engaging in self-blame, which contributes to their psychological distress over time.The purpose of this study was to investigate whether maladaptive coping mediates the association between high school victimization and psychological distress in early adulthood and whether social support moderates the association between high school victimization and maladaptive coping.Undergraduate university students (N = 168, Mage = 19.06) completed an online questionnaire assessing victimization, coping, stress, anxiety, and depression.The results revealed that maladaptive coping fully mediated the relationship between high school victimization and current psychological distress.However, social support did not moderate the association between victimization and maladaptive coping.The results suggest that maladaptive coping is a risk factor for mental health problems following victimization.Therefore, interventions aimed at enhancing adaptive coping and reducing maladaptive coping should be provided to victims of bullying.iii Acknowledgments First and foremost, I would like to thank my supervisor, Dr. Tina Daniels, for your support, guidance, valued feedback, and the warm
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".