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Record W3121632633

Quand voyager mène au renvoi: analyse critique de la législation canadienne sur la perte du statut de résident permanent liée à la perte de l’asile

2019· article· fr· W3121632633 on OpenAlexaboutno aff
Hélène Mayrand

Bibliographic record

VenueeYLS (Yale Law School) · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhysicsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This paper provides a critical analysis of section 46(1)(c.1) of the Immigration and Refugee Protection Act (IRPA) adopted in 2012. The application of this section results in the loss of permanent resident status for protected persons who lose their refugee status under section 108 of IRPA, for example by renewing their passport and travelling to their country of origin, even for a short period of time. The combined effect of sections 46(1)(c.1) and 108 of IRPA pose major issues to Canadian protected persons. As a result, this paper explains the conditions for the application of section 46(1)(c.1) of IRPA and, relying on the relevant case law and bills proposing to repeal the section, its problematic impacts. Finally, the paper presents arguments to support repealing the measure, or, at least, to mitigate its impacts.

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)0.014
metaresearch head score (Gemma)0.027
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: Other · Consensus signal: Other
Teacher disagreement score0.520
Threshold uncertainty score0.954

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.027
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0160.033
Scholarly communication0.0110.006
Open science0.0030.006
Research integrity0.0120.013
Insufficient payload (model declined to judge)0.0040.001

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 head0.017
GPT teacher head0.291
Teacher spread0.274 · 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
GenreOther

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

Citations0
Published2019
Admission routes1
Has abstractyes

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