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Record W6979715536

Access to Health Care and Workers’ Compensation for Precarious Migrants in Quebec, Ontario and New Brunswick

2011· article· en· W6979715536 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHealth careCompensation (psychology)Public healthGovernment (linguistics)Work (physics)
DOInot available

Abstract

fetched live from OpenAlex

Le statut d’immigration est un élément clé pour déterminer si un individu est admissible aux services de santé couverts par l’assurance publique. Les statuts d’immigration assignés aux personnes qui ne sont ni immigrants reçus ni citoyens peuvent être considérés comme particulièrement « précaires » puisque ces individus bénéficient de moins de certitude quant à leur possibilité de rester au Canada et de participer aux bénéfices de la société canadienne. Dans cet article, nous examinons la relation entre le fait d’être un individu au statut d’immigration « précaire » et l’accès aux soins de santé assuré par le régime public. L’étude porte sur les régimes d’assurance maladie et d’indemnisation pour les accidents du travail et les maladies professionnelles fédéraux et provinciaux applicables en Ontario, au Québec et au Nouveau-Brunswick, et ce, par le biais de la législation et de la jurisprudence. [...]

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.372

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.005
Science and technology studies0.0060.002
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.062
GPT teacher head0.259
Teacher spread0.196 · 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 designObservational
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

Citations10
Published2011
Admission routes1
Has abstractno

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