The Cedar Project: correlates of attempted suicide among young Aboriginal people who use injection and non-injection drugs in two Canadian cities
Bibliographic record
Abstract
OBJECTIVES: Aboriginal leadership and families are deeply concerned about the rate of suicide attempt among their young people. The objectives of this study were to (a) describe the prevalence of suicide attempt and (b) to describe correlates of vulnerability to suicide attempts within a cohort of young Aboriginal people who use drugs in 2 Canadian cities. We aimed to situate the findings within the context of historical and lifetime trauma. Study design. The Cedar Project is a prospective cohort study involving 605 young Aboriginal people aged 14-30 who use drugs in Vancouver and Prince George, British Columbia, Canada. METHODS: Multivariable logistic regression modelling identified independent predictors of suicide attempts. Estimates of adjusted odds ratios and 95% confidence intervals were calculated. RESULT: In multivariable analysis, residing in Prince George (Adjusted Odds Ratio [AOR]: 1.80, 95% CI: 1.23, 2.64), ever having been sexually abused (AOR: 2.07, 95% CI: 1.39, 3.08), and ever having overdosed (AOR: 2.29, 95% CI: 1.53, 3.42) independently predicted lifetime attempted suicide. CONCLUSIONS: Suicide prevention and intervention programs must address historical and lifetime trauma among Aboriginal young people who struggle with substance dependence.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".