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Record W2568738120 · doi:10.18192/uojm.v6i2.1793

Interim Federal Health Program for Refugees: Looking Back and Moving Forward

2016· article· fr· W2568738120 on OpenAlexaffvenueabout
Hamid Yusuf Abdihalim

Bibliographic record

VenueUniversity of Ottawa Journal of Medicine · 2016
Typearticle
Languagefr
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPolitical scienceRefugeeInterimHumanitiesLawPhilosophy

Abstract

fetched live from OpenAlex

ABSTRACTRefugee health continues to be an important topic in domestic and foreign affairs. In Canada, the interim federal health program (IFHP) is what provides refugees with healthcare insurance. Since 2012, there have been a series of changes to the IFHP. Due to the precari­ous status of the IFHP over the past few years, there have been a number of challenges associated with it. This commentary provides a review of the IFHP’s history, outlines specific challenges that remain within the program, and puts forward potential solutions to those challenges. RÉSUMÉLa santé des réfugiés continue d’être un sujet important dans les affaires domestiques et étrangères. Au Canada, le programme fédéral de santé intérimaire (PFSI) est responsable de fournir l’assurance maladie aux réfugiés. Depuis 2012, il y a eu une série de change­ments au PFSI. Étant donné l’état précaire du PFSI au cours des dernières années, il existe un certain nombre de défis qui y sont as­sociés. Ce commentaire fournit un aperçu de l’histoire du PFSI, souligne les défis précis qui persistent dans le programme, et propose des solutions potentielles à ces défis.

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)0.015
metaresearch head score (Gemma)0.033
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.626
Threshold uncertainty score0.743

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0100.006
Scholarly communication0.0100.011
Open science0.0040.008
Research integrity0.0190.019
Insufficient payload (model declined to judge)0.0250.002

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 head0.025
GPT teacher head0.342
Teacher spread0.317 · 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
GenreCommentary

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

Citations5
Published2016
Admission routes3
Has abstractyes

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Same venueUniversity of Ottawa Journal of MedicineSame topicMigration, Health and TraumaFrench-language works237,207