Risk factors for initiation into drug injection among adolescent street youth
Bibliographic record
Abstract
Young injectors are a group with high-risk behaviours, particularly with respect to HIV infection and hepatitis C. A leading strategy to prevent these infections could be the prevention of injection, especially among the youngest individuals. We report analyses on initiation into drug injection from a prospective cohort study of street youth conducted in Montreal, Canada. Among 118 non-injector participants under 18 years of age followed for an average of 1.31 years, we estimated an incidence rate of injection of 22.7 per 100 person-years. Independent predictors of initiation were: a lifetime history of use of ≥4 types of drugs, recent daily alcohol drinking, a recent episode of homelessness, a lifetime history of rape, and recent involvement in survival sex. The observed high rate of initiation into injection clearly indicates that interventions to prevent injection should target especially adolescent street youth. These interventions should address simultaneously individual and structural factors, such as substance abuse and living conditions.
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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 | 0.000 |
| 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".