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Record W2147380218 · doi:10.7202/013711ar

La régulation de la diversité et de l’extrémisme religieux au Canada

2006· article· fr· W2147380218 on OpenAlexaffvenueabout
Élisabeth Campos, Jean‐Guy Vaillancourt

Bibliographic record

VenueSociologie et sociétés · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsUniversité de MontréalInstitut national de psychiatrie légale Philippe-Pinel
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

L’éclatement du champ religieux est une caractéristique de la plupart des États modernes occidentaux. Cette situation fait surgir de nouveaux questionnements sur la régulation du pluralisme religieux contemporain, surtout que la sécularisation des sociétés a renforcé paradoxalement les formes les plus engagées du religieux. La gestion de la liberté religieuse face aux groupes radicaux ou extrémistes est ainsi devenue centrale et met en évidence des enjeux qui sont loin d’être uniquement théoriques. Ils affectent autant le type de conception, plus ou moins libérale, de la liberté de religion adoptée, le traitement des minorités et le choix de valeurs communes à protéger. Notre propos s’appuie sur l’analyse de la régulation du pluralisme religieux au Canada et se fonde sur quelques exemples qui illustrent ces enjeux. Notre réflexion s’étend également à d’autres pays dans la mesure où les questions soulevées dépassent le cadre strictement canadien et apparaissent comme transnationales.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.388

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.004
Scholarly communication0.0030.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.104
GPT teacher head0.468
Teacher spread0.364 · 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 designQualitative
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

Citations1
Published2006
Admission routes3
Has abstractyes

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