Poly-victimization and trajectories of binge drinking from adolescence to young adulthood among serious juvenile offenders
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Background Justice involved youth exposed to multiple forms of victimization (i.e., poly-victimization) may be at risk for long term substance use problems and difficulty in self-regulation, placing them at higher risk of long-term problematic behaviors. This study empirically identifies victimization classifications in a sample of justice involved youth and how long-term binge drinking is related to victimization experiences. We further sought to understand how self-regulatory abilities such as impulse control and emotion regulation effect emergent profiles and binge drinking trajectories. Methods Based on a sample of 1354 justice involved youth from 15 to 25 years old, classes of victimization were extracted. Emergent classes were examined in relationship to their binge drinking trajectories using latent growth models. Finally, self-regulation was examined as a predictor of binge drinking trajectories across emergent classes. Results The analyses indicated three classes of victimization: poly-victimized, indirectly victimized, and lowly victimized. Latent growth models revealed that the poly-victimized class had significantly steeper growth in binge drinking as compared to the indirect and low victimized patterns. Impulse and emotional regulation both significantly decelerated binge drinking only for the indirect victimization group. Conclusions Findings highlight the need to focus on poly-victimization in understanding binge drinking trajectories as well as the role impulse control and emotional regulation play among justice involved youth. Findings are discussed through the lens of adolescent development, coping strategies, and early traumatic experiences.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it