Violence among Street-Involved Youth: The Role of Methamphetamine
Bibliographic record
Abstract
AIMS: This study investigated a possible association between violence and the use of drugs, particularly methamphetamine and alcohol. METHODS: Cross-sectional, baseline data were derived from the At-Risk Youth Study, a prospective cohort of street-involved youth in Vancouver, Canada. Subjects were asked whether they had suffered or perpetrated violence in the 6 months prior to the interview. RESULTS: In total, 478 youth were enrolled, with a median age of 22 years (interquartile range = 20.0-23.9); 230 (48%) reported having been victims of violence, while 165 (34.5%) reported having perpetrated violence. Daily methamphetamine use was not associated with either outcome. In a multivariate analysis, daily alcohol consumption was significantly associated with being a victim (adjusted odds ratio = 2.10) and a perpetrator (adjusted odds ratio = 2.02) of violence. A history of abuse, failing a grade, and dealing drugs were also independently associated with violence, while having a regular partner was protective. CONCLUSION: Contrary to popular media reports that methamphetamine causes violence, we found no association. The association of alcohol with violence, though, has implications for screening and intervention programs.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".