Correlates Of Positive Mental Health Among Migrants In Canada
Bibliographic record
Abstract
Introduction: Positive mental health is of increasing interest as a public health measure, and is understudied among migrants.\nObjective: The purpose of this project was to examine positive mental health and associated factors among migrants in Canada. \nMethods: We used the Canadian Community Health Survey (CCHS) 2011-2012 cycles. A total of 28,051 respondents identified as migrants, which accounted for 23.2% of the entire sample. Using multivariable regression models, positive mental health among migrants was compared to non-migrants, and the effects of sociodemographic, lifestyle, and health-related factors were examined.\nResults: The present study found that time spent in Canada since migration affects positive mental health in migrants, as well as their own perception of mental health. Furthermore, several important factors that contribute to better positive mental health or self-perceived mental health were identified.\nConclusion: Strategies that promote positive mental health in migrants and education about factors that can contribute to better positive mental health should be encouraged.
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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 | 0.001 | 0.002 |
| 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) | 0.003 | 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".