Ethnic differences in self-rated and functional health: does immigrant status matter?
Bibliographic record
Abstract
The current study examines self-rated health status and functional health differences between first-generation immigrant and Canadian-born (CB) persons who share the same ethnocultural origin, and the extent to which such differences reflect social structural and health-related behavioural contexts. Multivariate analyses of data from the 2000/2001 Canadian Community Health Survey indicate that first-generation immigrants of Black and French ethnicity tend to have better health than their CB counterparts, while the opposite is true for those of South Asian and Chinese origins, providing evidence that for these groups, immigrant status matters. West Asians and Arabs and other Asian groups are advantaged in health regardless of country of birth. Health differences between ethnic foreign-born and CB persons generally converge after controlling for sociodemographic, socioeconomic status (SES), and lifestyle factors. Analysis of the data does however reveal extensive ethnocultural disparities in self-rated and functional health within both the immigrant and CB populations. Implications for health care policy and programme development are discussed.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".