Health Care for All: Undocumented Migrants and the COVID-19 Pandemic in Alberta, Canada—A Scoping Review
Bibliographic record
Abstract
• What can be learned about the healthcare access of undocumented workers? How can health equity be advanced through sensitivity to the process of precaritization and the precarities informing their lives? • Thailand and Spain are the only countries in the world that offer the same healthcare access to undocumented migrants as citizens. Most European countries only offer emergency services: France, the Netherlands, Portugal, Spain, and Switzerland allow undocumented migrants to access similar services to citizens if they meet conditions (proof of identity; length of residence in the country). European cities such as Ghent, Frankfurt, and Dusseldorf, offer barrier-free healthcare. Throughout the USA, Federally Qualified Health Centers support care to the uninsured regardless of immigration status. • In Canada, Ontario and Quebec, provide a base level of healthcare access to undocumented migrants, and a small number of stand-alone community-based clinics offer additional care and specialized services. • To promote healthcare for undocumented migrants in Alberta, barrier-free access to vaccination, COVID-19 treatment, and proof of vaccinations are essential, but an equity lens to healthcare service— informed by analytic understanding and robust approach to precaritization as a social determinant, is most needed.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.010 | 0.018 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".