Correlates and outcomes of severe bullying: internalizing maladjustments of adolescent bullies, victims and bully- victims
Bibliographic record
Abstract
The current study examined the association between involvement in bullying and victimization and internalizing difficulties such as self-esteem, social anxiety, depression and body image. Possible gender differences were also examined. The participants, high school students from Southern Ontario (N=533), were drawn from a larger, data set as part ofa study that was completed by the Youth Lifestyle Choices: Community Research Alliance (YLCCURA). The students completed a self-report questionnaire on a number ofmeasures; including, bullying, victimization, self-esteem, social anxiety, depression and body image. The results of this study suggest that those students who self-identified as victims and bully-victims also report higher levels of anxiety and depression than controls and bullies. Severe victims and bullyvictims had a lower body image than severe bullies and controls, whereas severe bullies seem to have a higher body image score than controls. These results are relevant when considering treatments and interventions for students experiencing adjustment difficulties who may also be at risk for bullying victimization. The results also suggest that particular attention needs to be focused on those adolescents who play multi-roles in bullying situations (i.e., bully-victims), since these students may come to the attention ofthe school system for externalizing behaviours, but may also need assistance for internalizing maladjustments.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".