A Scoping Review of Self-Report Measures of Aggression and Bullying for Use With Preadolescent Children
Bibliographic record
Abstract
Bullying in schools is a major health concern throughout the world, contributing to poor educational and mental health outcomes. School nurses are well placed to facilitate the implementation and evaluation of bullying prevention strategies. To evaluate the effect of such strategies, it is necessary to measure children's behavior over time. This scoping review of instruments that measure the self-report of aggressive behavior and bullying by children will inform the evaluation of bullying interventions. This review aimed to identify validated instruments that measure aggression and bullying among preadolescent children (age 8-12). The review was part of a larger study that sought to differentiate bullying from aggressive behavior by measuring the self-report of power imbalance between the aggressor and the child being bullied. The measurement of power imbalance was therefore a key aspect of the scoping review.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 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".