Does Bully Victimization Predict Future Delinquency?
Bibliographic record
Abstract
Over the past decade school bullying has emerged as a prominent issue of concern for students, parents, educators, and researchers. Bully victimization has been linked to a long list of negative outcomes, such as depression, peer rejection, school dropout, eating disorders, delinquency, and violence. Previous research relating bully victimization to delinquency has typically used standard regression techniques that may not sufficiently control for heterogeneity between bullied and nonbullied youths. Using a large, nationally representative panel dataset, the National Longitudinal Survey of Youth 1997 (NLSY97), we use a propensity score matching technique to assess the impact of bully victimization on a range of delinquency outcomes. Results show that 19% of respondents had been victimized prior to the age of 12 years ( n = 8,833). Early victimization is predictive of the development of 6 out of 10 delinquent behaviors measured over a period of 6 years, including assault, vandalism, theft, other property crimes (such as receiving stolen property or fraud), selling drugs, and running away from home. Bully victimization should be considered an important precursor to delinquency.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".