Risk indicators of suicide ideation among on-reserve First Nations youth
Bibliographic record
Abstract
BACKGROUND: Despite the known disparity in suicide rates in Canada, there is limited information on the independent risk indicators of suicide ideation among First Nations youth living on reserve. OBJECTIVE: To determine the prevalence and adjusted risk indicators for suicide ideation among on-reserve First Nations youth. METHODS: Saskatoon Tribal Council (Saskatchewan) First Nations students enrolled in grades 5 through 8 who were living on reserve were asked to complete a health survey using validated questionnaires. In total, 75.3% of the students completed the survey. The study was led by the Saskatoon Tribal Council with assistance from three departments at the University of Saskatchewan (Saskatoon, Saskatchewan). RESULTS: Among on-reserve First Nations youth, 23% experienced suicide ideation within the past 12 months. In comparison, 8.5% of Saskatoon urban youth and 19% of Saskatoon urban Aboriginal youth within the same grades experienced suicide ideation. Wanting to leave home (OR 13.91 [95% CI 3.05 to 63.42]), having depressed mood (OR 2.98 [95% CI 1.16 to 7.67]) and not feeling loved (OR 3.85 [95% CI 1.49 to 9.93]) were independently associated with suicide ideation among on-reserve youth. None of the children with a father who was professionally employed reported suicide ideation. CONCLUSIONS: Understanding the independent risk indicators associated with suicide ideation among First Nations youth living on reserve will hopefully aid in appropriate interventions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".