National immigration health policy: Existing policy, changing needs, and future directions. Canadian Journal of Public Health 95:27–29
Bibliographic record
Abstract
Canada has a long history of welcoming immigrants and a longstanding immigration policy framework. The historic principles that govern immigration selection and processing also include regulatory policies in the area of health. Based on historical principles that pre-date Confederation, Canadian immigration health policy has remained relatively constant. Policies are based on the identification of specific individuals and the exclusion, if appropriate, of the affected individuals – an approach that continues today. During the past three decades, however, evolutionary changes in the patterns, volume and demography of immigration have created situations that may necessitate changes to existing policy frameworks. This paper reviews current immigration health policies and practices in Canada, describes the nature and impact of existing challenges, and proposes some alternatives for future consideration. Immigration is a fundamental pillar onwhich Canada has been built.Beginning with European colonization, the medical assessment of migrants is one of the nation’s oldest migration-related
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.015 | 0.009 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".