Social Determinants of Health Among Off-Reserve First Nations, Métis and Inuit Youth in Canada
Bibliographic record
Abstract
This study uses data from the 2012 Aboriginal Peoples Survey (APS) to examine associations between the social determinants of health and health among off-reserve First Nations, Métis and Inuit youth in Canada aged 12 to 18.The selected measures of health are excellent/very good health, and a diagnosed mood and/or anxiety disorder.The social determinants in this study were selected to depict a wholistic portrait of the lives of Indigenous youth.Measures of socioeconomic status, the physical environment and the school environment were examined, including measures specific to the experiences of Indigenous peoples such as intergenerational trauma and cultural continuity.Findings show that a distinctions-based approach to quantitative research about Indigenous peoples is crucial, as associations between health and the social determinants differ by Aboriginal identity group and by health outcome.This is likely due to differences in cultures, languages, area of residence and different experiences of colonization.However, some determinants such as age and closeness with extended family showed almost consistent relationships with health outcomes.The results from this study indicate that a wholistic and historical understanding of the lives of Indigenous peoples is crucial for understanding health outcomes, and a social determinants approach shifts the focus from stigmatizing research on individual behaviour to an examination of the structural barriers to good health.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 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".