The short-term health of Canada's new immigrant arrivals: evidence from LSIC
Bibliographic record
Abstract
OBJECTIVES: The objectives of the current paper are to address the timing of declines in health after arrival in the host country, and to document differences in health status by immigrant arrival group (economic immigrants, family reunification, and refugees). DESIGN: Statistics Canada's Longitudinal Survey of Immigrants to Canada captures health and other attributes of a cohort of immigrant arrivals to Canada at six months, two years, and four years after arrival. Descriptive and multivariate methods are applied to this data file in order to ascertain changes in health status in the period immediately after arrival. RESULTS: Significant declines in health status are noted within as little as two years post-arrival. In addition, refugees are observed to have lower levels of health and are more likely to transition to a state of poor health, while economic immigrants report the highest levels of self-assessed health. CONCLUSION: The health status of new arrivals, measured by self-assessed health, physical health, and mental health, declines quickly after arrival. Refugees generally experience the lowest levels of health.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".