Aboriginal peoples in complete mental health: A nationally-representative Canadian portrait of resilience and flourishing
Bibliographic record
Abstract
This study aimed to document the prevalence and factors associated with complete mental health (CMH) among Aboriginal peoples living in Canada. CMH is comprised of three parts: 1) the absence of major depressive episode, anxiety disorders, bipolar disorder, serious suicidal thoughts, and substance dependence in the past year as measured by the World Health Organization (WHO) versions of the Composite International Diagnostic Interview (WHO-CIDI), 2) happiness and/or satisfaction with life in the past month, and 3) psychological and social well-being. The method involved secondary analysis of Statistics Canada’s 2012 Canadian Community Health Survey-Mental Health (CCHS-MH). Responses from Aboriginal peoples living in Canada off-reserve ( n = 965) were examined to determine what percentage were in CMH and what characteristics are associated with being in CMH. Data analysis involved both bivariate and multivariate analytic techniques to examine factors associated with CMH among Aboriginal peoples. Overall, two-thirds of Aboriginal peoples (67.9%) living in Canada were in CMH. Those with a post-secondary degree, who had a confidant, and those who were free of disabling chronic pain were more likely to be in CMH. Additionally, the odds of CMH were higher among those without a history of suicidal ideation, major depression, alcohol dependence, drug dependence, anxiety disorder, or difficulty sleeping. Findings from this study provide indications of substantial resiliency among Aboriginal peoples in Canada.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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".