Physical and relational bullying and victimization: Differential relations with adolescent dating and sexual behavior
Bibliographic record
Abstract
Taking an evolutionary psychological perspective, we investigated whether involvement in bullying as a perpetrator or victim was more likely if adolescents reported having more dating and sexual partners than their peers, an indication of greater engagement in competition for mates. A total of 334 adolescents (173 boys, 160 girls) between the ages of 12 and 16 years (M = 13.6, SD = 1.3), recruited from community youth organizations, completed self-report measures of physical and relational bullying and victimization, as well as dating and sexual behavior. As predicted, pure physical bullying was positively associated with the number of dating and sexual partners, primarily for adolescent boys. Adolescent girls with more dating partners had greater odds of being relational bully-victims, in line with predictions. Finally, adolescent girls with more sexual partners were at greater risk of being physically victimized by peers, and greater involvement with dating and sexual partners was associated with higher odds of being a physical bully-victim. Results are discussed with respect to evolutionary theory and research in which adolescent boys may display strength and athleticism through physical bullying to facilitate intersexual selection, whereas relational bullying may be employed as a strategy to engage in intrasexual competition with rivals for mates. Aggr. Behav. 43:111-122, 2017. © 2016 Wiley Periodicals, 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".