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Record W4245786180 · doi:10.1177/016934411002800102

Immigration Status and Basic Social Human Rights: A Comparative Study of Irregular Migrants' Right to Health Care in France, the UK and Canada

2010· article· en· W4245786180 on OpenAlexaboutno aff
Sylvie Da Lomba

Bibliographic record

VenueNetherlands Quarterly of Human Rights · 2010
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsDignityHuman rightsImmigrationRight to healthSocial rightsPersonhoodPolitical scienceHealth careFundamental rightsPower (physics)Government (linguistics)SociologyLaw

Abstract

fetched live from OpenAlex

The article examines the constraints that irregular migrants' immigration status exerts on the realisation of their basic social human rights. To this end, the article focuses on the right to health care and undertakes a comparative study of irregular migrants' access to health care in France, the United Kingdom and Canada. The study shows that States perceive the conferment of social rights on irregular migrants as an erosion of the government's immigration power notwithstanding their characterisation as human rights. The resource-intensive nature of the right to health care further heightens States' reluctance to extend this right to irregular migrants. Yet compliance with international human rights law and respect for human dignity require that States reinstate personhood as a source of rights and therefore reassess the relevance of their immigration power.

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)0.003
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.348

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0140.007
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.002
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 head0.026
GPT teacher head0.395
Teacher spread0.370 · 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

Citations23
Published2010
Admission routes1
Has abstractyes

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