Multilevel social determinants of mental health among Inuit youth in Nunavik
Bibliographic record
Abstract
Following the onset of intensive colonial intervention and rapid social change in the lives of the Inuit of Nunavik since the 1950’s, rates of mental health problems such as suicide have been very high, particularly among youth. Inuit cite a broad range of social influences on mental wellness based on their lived experience, but epidemiological studies have focused on individual-level psychological and behavioural risk factors and negative outcomes. This study aimed to broadly assess of the social determinants of mental health among Inuit youth in Nunavik. Using data from the 2004 Nunavik Inuit Health Survey, associations between self-esteem, suicidal ideation, and a range of locally meaningful risk and protective factors at the individual, household, and community levels were estimated among Inuit youth. Estimation procedures involved multilevel linear and logistic regression modeling with multiple imputation. Early guidance was sought from key informants and results were interpreted in collaboration with community representatives in Nunavik. Epidemiologically speaking, novel findings include the protective effects of cultural pride, of traditional activities, and of community social capital; and harmful effects of barriers to participating in traditional activities, of household crowding, and of community rates of violence. These findings confirm Inuit perspectives, expand the scope of epidemiological analysis of Inuit mental health, and reinforce the need for locally informed, community-wide approaches to mental health promotion for Inuit youth.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".