Immigration as a Social Determinant of Oral Health: Does the 'Healthy Immigrant Effect' Extend to Self-rated Oral Health in Ontario, Canada?
Why this work is in the frame
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Bibliographic record
Abstract
Immigrants' oral health is rarely explored in Canada, despite its impact on physical, social, and economic well-being. Drawing on data from the 2014 Canadian Community Health Survey, we address this void by comparing self-rated oral health among recent immigrants, established immigrants, and the native-born in Ontario, Canada. The analysis includes three sets of control variables capturing the resettlement stress perspective, convergence perspective, and selective immigration. We find that oral health does not significantly differ between recent immigrants and the native-born at the bivariate level, although the odds of reporting poor oral health become significantly lower for recent immigrants, once the resettlement characteristics are accounted for. This difference is completely attenuated by selective immigration characteristics. Established immigrants are more likely to report poor oral health than the native-born, even after accounting for all control variables. Based on these findings, we conclude by offering recommendations for policymakers.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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