A developmental perspective on bullying
Bibliographic record
Abstract
Abstract In this paper, we examined the forms and relationship contexts of bullying in adolescence. Using cross‐sectional data, we assessed grade and sex differences in self‐reports of bullying and sexually harassing peers, as well as reports of dating aggression from1896 students from early to late adolescence. Reports of bullying others were highest around the school transition, with lowest levels at the end of high school. Boys reported more bullying and sexual harassment than girls. Sexual harassment of same‐ and opposite‐sex peers increased over the early adolescent years and leveled off in later high‐school years. There were no sex differences in the prevalence of indirect or physical aggression with a dating partner. Adolescents who bullied were at increased risk for the other forms of relationship aggression. These data highlight bullying as a relationship problem and point to the need for prevention programs to curtail the use of power and aggression in adolescent relationships. Aggr. Behav. 32:376–384, 2006. © 2006 Wiley‐Liss, Inc.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".