Direct and indirect bully‐victims: differential psychosocial risk factors associated with adolescents involved in bullying and victimization
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The present study examined psychosocial risk factors that differentiated direct and indirect bully‐victims from bullies, victims and uninvolved adolescents. A total of 7,290 (3,756 girls) students (ages 13–18 yr) from a region of Southern Ontario, Canada, completed a number of self‐report measures to determine the relation between direct and indirect bullying and victimization and several psychosocial risk factors, including normative beliefs about antisocial acts, angry‐externalizing coping, social anxiety, depression, self‐esteem, temperament, attachment, parental monitoring and peer relational problems. ANCOVA and logistic regression analyses indicated that indirect bully‐victims and victims were similar in demonstrating greater internalizing problems and peer relational problems than indirect bullies and uninvolved participants. Furthermore, adolescents involved in indirect bullying (bullies, bully‐victims) reported a higher level of normative beliefs legitimizing antisocial behaviour and less parental monitoring (males only) than indirect victims and uninvolved participants. Only normative beliefs legitimizing antisocial behaviour distinguished direct bully‐victims and bullies from victims and uninvolved adolescents. Results illuminate the distinct characteristics of direct and indirect bully‐victims; theoretical and clinical implications are discussed. Aggr. Behav. 32:551–569. 2006. © 2006 Wiley‐Liss, Inc.
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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 | 0.000 | 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) | 0.000 | 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 it