The Healthy Immigrant Effect and Immigrant Selection: Evidence from Four Countries
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
The existence of a healthy immigrant effect – where immigrants are on average healthier than the native-born – is now a well accepted phenomenon. There are many competing explanations for this phenomenon including health screening by recipient countries, healthy behaviour prior to migration followed by the steady adoption of new country (less) healthy behaviours, and immigrant self-selection where healthier and wealthier people tend to be migrants. We explore the last two of these explanations for the healthy immigrant effect by examining the health outcomes, health behaviours, and socio-economic characteristics of immigrants from a range of source countries in the US, Canada, UK and Australia. We find evidence of strong positive selection effects for immigrants from all regions of origin in terms of education. However, we also find evidence that self-selection in terms of unobservable factors is an important determinant of the better health of recent immigrants.
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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 | 0.005 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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