Changing Rates of Suicide Ideation and Attempts Among<scp>I</scp>nuit Youth: A Gender‐Based Analysis of Risk and Protective Factors
Bibliographic record
Abstract
Inuit in Canada currently suffer from one of the highest rates of suicide in the world. The objective of this study was to explore the prevalence of suicide ideations and attempts among 15-24 year olds living in Nunavik, Québec, and to explore risk and protective factors of suicide attempts as a function of gender. A cross-sectional survey was conducted in 2004 across Nunavik. Univariate and multivariate logistic regressions were conducted. A total of 22% of young males and 39% of females adults reported past suicidal attempts. Gender differences were observed in relation to associated risk and protective factors as well as degree of exposure to risk factors. Suicide prevention must include alcohol and drug prevention programs and rehabilitation services, interventions to reduce physical and sexual violence and their long-term impacts on Inuit youth, as well as exposure to culturally meaningful activities.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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".