MétaCan
Menu
Back to cohort
Record W2215341176 · doi:10.60082/0829-3929.1054

Into the Wasteland: Applying Equality Principles to Medical Inadmissibility in Canadian Immigration Law

2001· article· en· W2215341176 on OpenAlexvenueaboutno aff
Rose Voyvodic

Bibliographic record

VenueJournal of Law and Social Policy · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Systems and Judicial Processes
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationLawPolitical scienceSociology

Abstract

fetched live from OpenAlex

Le principe bien ancr6 qui ressort des lois et de la jurisprudence et fait que des privileges et non des droits sont accord6s aux 6trangers concourt, avec les 616ments sociaux, biom6dicaux et 6conomiques rattach6s aux handicaps, a former un mur quasi insurmontable pour les personnes handicap6es qui tentent de s'installer au Canada. L'auteur 6tudie l'opportunit6 d'une analyse pouss6e en mati re d'6quit6 afin que le terrain hostile qu'est le droit de l'immigration au Canada devienne accessible aux personnes handicap6es et conclut que les injustices du droit doivent faire 1' objet d'un examen beaucoup plus minutieux par toutes les couches de la soci6t6 pour qu'un changement soit possible.

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)0.011
metaresearch head score (Gemma)0.034
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: Empirical · Consensus signal: none
Teacher disagreement score0.096
Threshold uncertainty score0.697

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.034
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0240.050
Scholarly communication0.0110.008
Open science0.0030.008
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0080.000

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 head0.042
GPT teacher head0.372
Teacher spread0.330 · 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
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

Citations2
Published2001
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Law and Social PolicySame topicLegal Systems and Judicial ProcessesFrench-language works237,207