National Symposium on Immigrant Health in Canada An
Bibliographic record
Abstract
Ethnicity and migration are recognized as factors that determine health due to biolog-ical, cultural, social, and lifestyle factors.1-3 The most recent census results show thatthe ethnocultural profile of Canada is increasingly diverse. In 2001, approximately 5.4 million Canadians, or 18.4 % of the total population, were born outside of the country, an increase from 17.4 % in 1996. This proportion is higher than most other countries worldwide, with the exception of Australia where, in 2001, about 22 % of the total popula-tion was foreign-born. In the United States, immigrants represent about 11 % of the total population.4 Immigrants represent a very diverse population in terms of ethnicity, cultural and sociodemographic characteristics. Immigrants to Canada come from all parts of the world, although a large proportion of more recent immigrants come from Asia and the Middle East in the last decade (58 % in 1991-2001).4,5 Knowledge of the unique patterns of health and health care needs of immigrants is cur-rently somewhat limited in Canada. Considering the very diverse ethnocultural profile of the Canadian population, as well as the size of the immigrant population, national consen-sus is needed on current knowledge and research priorities with respect to determinants of health, health status, and health services utilization among immigrants in Canada. These efforts would help develop more targeted policies and programs aimed at reducing existing health disparities. In light of this need, a National Symposium on Immigrant Health was
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".