Self–other representations and relational and overt aggression in adolescent girls and boys*
Bibliographic record
Abstract
Aggressive behavior in girls has received far less attention than similar problems in boys. This study examined self-representation, and others' representation of self, as predictors of relational aggression, overt aggression, and assaultive behavior in 32 girls and 52 boys, 10 to 17 years of age, referred for assessment due to significant aggressive and delinquent behavior problems. As predicted, negativity of self-representation predicted relational aggression in girls but not boys. Negativity of self-representation also predicted overt aggression and assaultive behavior in both girls and boys. Parental representations of self were not predictive in this sample; however, negativity of peer representations of self, was associated with increased relational aggression in girls and decreased relational aggression in boys. Negativity of peer representations of self also predicted overt aggression and assaultive behavior in both girls and boys. Results suggest that the evaluation of self-other representations may be valuable in the assessment of risk for gender specific patterns of aggression.
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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) | 0.002 | 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".