A Comparison of Mental Health, Food Insecurity, and Diet Quality Indicators between Foreign-Born Immigrants of Canada and Native-Born Canadians
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Because successful integration post-immigration is critical to Canada’s population health, national data were analyzed to examine mental health, food insecurity (Household Food Security Survey Module), and diet quality (e.g., nutrient intakes) between foreign-born immigrants and native-born Canadians. After controlling for sociodemographic and health covariates, immigrants were more likely to report poor mental health, food insecurity, and poor diet quality (ORs 1.038–1.080); consume less carbohydrates, vitamin B1, and iron (ORs 0.814–0.996); and have higher intakes of fat, fiber, and vitamins B6 and B9 (ORs 1.003–1.420; all p’s<0.05). These results can help to advance policy developments to help mitigate the ‘healthy immigrant effect’.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it