MétaCan
Menu
Back to cohort
Record W4392972968 · doi:10.26443/mjgh.v11i1.1332

A Critical Look at Refugee Healthcare in Canada

2022· article· en· W4392972968 on OpenAlexaffabout
Poojitha Pai, Leah Sarah Peer, Jenny Gao, Shreyashish Roy‐Chowdhury, Jasrita Singh, A. A. Mardon

Bibliographic record

VenueMcGill Journal of Global Health · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsUniversity of AlbertaWestern UniversityMcMaster University
Fundersnot available
KeywordsRefugeeHealth carePublic relationsGovernment (linguistics)InterimEquity (law)Political sciencePublic administrationBusinessLaw

Abstract

fetched live from OpenAlex

The Interim Federal Health Program (IFHP) was initiated in 1957 by the Canadian government to provide basic health insurance for refugees and refugee claimants. After a series of budgetcuts in 2012 and reinstatement of services in 2016, the IFHP has been met with confusion by healthcare professionals. Complex administrative processes have led to reluctance in providing care for refugees, including refugee claimants, by various healthcare providers. Refugees already face several barriers that hinder their ability to access care. Given the lack of awareness around the IFHP amongst professionals, this paper outlines recommendations and actionable steps for various key stakeholders to improve their knowledge of and commitment to the IFHP. Potential strategies include advocating for a simplified administrative process, holding government officials accountable for poor policy implementation, and enlisting the help of civil society organizations to raise awareness about the IFHP. These interventions are the first step in ensuring that the values of equity and multiculturalism are embraced in the healthcare system.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.094
GPT teacher head0.497
Teacher spread0.403 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations1
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueMcGill Journal of Global HealthSame topicHealthcare Systems and PracticesFrench-language works237,207