A Multi-Informant Longitudinal Study on the Relationship between Aggression, Peer Victimization, and Dating Status in Adolescence
Bibliographic record
Abstract
Adolescent peer-aggression has recently been considered from the evolutionary perspective of intrasexual competition for mates. We tested the hypothesis that peer-nominated physical aggression, indirect aggression, along with self-reported bullying behaviors at Time 1 would predict Time 2 dating status (one year later), and that Time 1 peer- and self-reported peer victimization would negatively predict Time 2 dating status. Participants were 310 adolescents who were in grades 6 through 9 (ages 11-14) at Time 1. Results showed that for both boys and girls, peer-nominated indirect aggression was predictive of dating one year later even when controlling for age, peer-rated attractiveness, and peer-perceived popularity, as well as initial dating status. For both sexes, self-reported peer victimization was negatively related to having a dating partner at Time 2. Findings are discussed within the framework of intrasexual competition.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".