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Record W4379879061 · doi:10.1016/j.jmh.2023.100192

Health Care for All: Undocumented Migrants and the COVID-19 Pandemic in Alberta, Canada—A Scoping Review

2023· article· en· W4379879061 on OpenAlexaffabout
Marian Caterial Sanchez, Deborah Nyarko, Jenna Mulji, Anja Džunić, Monica Santosh Surti, Avneet Mangat, Dikshya Mainali, Denise L. Spitzer

Bibliographic record

VenueJournal of Migration and Health · 2023
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHealth careResidenceEquity (law)ImmigrationPandemicEconomic growthPolitical scienceHealth equityBusinessCoronavirus disease 2019 (COVID-19)MedicineSociologyDemographyLaw

Abstract

fetched live from OpenAlex

• 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.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.087
Threshold uncertainty score0.297

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0100.018
Science and technology studies0.0020.002
Scholarly communication0.0050.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.087
GPT teacher head0.456
Teacher spread0.369 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations12
Published2023
Admission routes2
Has abstractyes

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