Exposure to parental and community violence and the relationship to bullying perpetration and victimization among early adolescents: A parallel process growth mixture latent transition analysis
Bibliographic record
Abstract
This study examined heterogeneity in parental and community violence exposure during middle school and its association with bullying perpetration and victimization in high school. Youth (N = 1,611) in four Midwestern middle schools participated. Parallel process growth mixture latent transition analysis was used to understand how trajectory profiles of middle school violence exposure was associated with high school bullying profiles. Impulsivity, depression, school belonging, and delinquency were assessed as moderators of the transition probabilities. A three class solution was found for violence exposure: decreasing parental violence/increasing community violence (n = 103; 6.4%), stable high parental violence and low community violence (n = 1,027; 63.7%), and increasing parental violence and stable high community violence (n = 481; 29.8%). Similarly, a three class solution was found for high school bullying: High Bullying Perpetration and High Victimization class (n = 259; 16%), Victimization only (n = 1145; 71%), and low all class (n = 207; 13%). The largest proportion of youth transitioning into the high bullying and high victimization class were from the decreasing parental violence/increasing community violence. Depression, impulsivity, school belonging, and delinquency all had various moderating effects on transition probabilities. Our findings make it apparent that early forms of parental and community violence are associated with aggressive behaviors and experiences with victimization during high school. Prevention and intervention efforts should target individuals who display early and chronic patterns of exposure to violence as these individuals have the greatest risk of later aggressive and victimization in high school.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".