Sex differences in the personal costs and benefits of relational and physical aggression in high school
Bibliographic record
Abstract
Abstract While recent research using peer ratings demonstrates positive relations between youth's reputations for aggression and popularity, it is not clear whether aggressive youth themselves make these links. Using youth's self‐reports, this study assessed the associations of relational and physical aggression with indicators of both personal gains in peer relations (perceived popularity and receipt of prosocial attention) and personal costs in terms of retaliation or depressive responses (peer victimization and depressive symptoms) in a large sample (n=455) of eighth‐ to tenth‐grade students. Regression analyses reveal that more relationally aggressive youth report more prosocial attention but also more relational (but not physical) victimization. In contrast, more physically aggressive youth report more depressive symptoms and physical (but not relational) victimization. Findings suggest that some costs of aggression (victimization) are higher for boys while others (depressive symptoms) are greater for girls. Group differences were also found for aggressive, victimized, and aggressive/victimized youth compared to the typical low aggressive/low victimized youth. These data suggest that the costs of relational and physical aggression may outweigh benefits except for aggressive non‐victimized boys. Aggr. Behav. 32:409–419, 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".