Factors Associated with Recovery in Aboriginal People in Canada Who Had Previously Been Suicidal
Bibliographic record
Abstract
To explore factors associated with recovery from suicidal ideation among Aboriginal peoples living off reserve in Canada. Recovery is defined as being free of serious suicidal thoughts for the past year. Data for this study came from the 2012 Aboriginal Peoples Survey, a nationally representative sample of Aboriginal peoples in Canada who are living off-reserve. The sample consisted of those who had seriously considered suicide at some point in their life (n = 2,680). Those who had been suicidal in the past year were compared to those who were no longer suicidal using Pearson chi-square and logistic regression analyses. Several factors were associated with recovery among Aboriginal peoples living off-reserve in Canada who had previously been suicidal. Recovery was higher among women, individuals who were older, and those who were food secure, spoke an Aboriginal language, had a high school degree, had a confidant, and had no previous diagnosis of mood disorders or learning disability. Several sociodemographic factors appear to influence recovery from suicidality among Aboriginal peoples. Intervention approaches to promote recovery from suicidal ideation would benefit from targeted outreach, a strength-based, culturally-specific approach using traditional practices, and encouraging involvement of various community members to foster resilience and formation of relationships.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 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) | 0.002 | 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".