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Record W2962694843 · doi:10.7202/1062169ar

Définir la religion en droit de l’asile : entre évitement et restriction

2019· article· fr· W2962694843 on OpenAlexaffvenueabout
Safa Ben Saad, David Koussens, Sébastien Lebel-Grenier

Bibliographic record

VenueRevue générale de droit · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Le présent texte analyse la conception de la religion qui émerge du contentieux, au Canada, relatif aux demandes d’asile pour motif de persécution religieuse. L’État canadien est astreint à une double obligation de neutralité et de garantie de la liberté de conscience et de religion, ce qui l’amène à s’immiscer dans le champ religieux afin de déterminer les contours de la religion. La spécificité du contentieux en droit de l’asile montre que la jurisprudence tente de faire émerger une qualification fonctionnelle de la religion, qui reste néanmoins imprégnée de résidus socioculturels. Après avoir présenté les stratégies des commissaires et des juges afin d’éviter de définir la religion, le présent article examine comment les caractéristiques du contentieux en droit de l’asile, notamment l’analyse d’éléments factuels comme l’évaluation de la crédibilité du témoignage, l’évaluation du risque de persécution et l’objectivation de la crainte, influent sur la définition de la religion qui en émerge néanmoins.

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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.449
Threshold uncertainty score0.893

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.030
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.037
GPT teacher head0.334
Teacher spread0.296 · 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 designTheoretical or conceptual
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

Citations0
Published2019
Admission routes3
Has abstractyes

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