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Record W2972207090 · doi:10.7202/1062038ar

Neutralité et culture publique commune : quelle place pour la religion au sein des institutions publiques ?

2019· article· fr· W2972207090 on OpenAlexaffvenue
Bertrand Lavoie

Bibliographic record

VenuePolitique et Sociétés · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Dans cet article, l’auteur s’intéresse à la place qu’occupe la religion au sein de la culture publique commune québécoise, afin de voir comment on peut envisager la place d’une religiosité encadrée au sein des institutions. En puisant au répertoire des lectures sociologiques, religiologiques et juridiques, il s’agit de voir si l’action publique peut accorder une place à la religion et, si oui, à quelle(s) condition(s). En distinguant deux conceptions possibles relatives à la place de la religion au sein de l’action publique, soit lareligion comme fondement normatifet lareligion comme outil d’intervention, l’auteur défend l’idée selon laquelle il est possible d’inclure la religion au sein de l’action publique, à la condition que la religion ne soit pas considérée comme étant une norme fondationnelle de l’action publique, mais plutôt un outil d’intervention parmi d’autres visant à servir celle-ci. L’auteur propose ici une lecture nuancée des enjeux de diversité culturelle et religieuse qui s’éloigne de deux positions tranchées au regard du religieux dans l’espace public : la position d’exclusion stricte, qui consiste à tenter d’évacuer la religion de la vie publique, et la position d’inclusion inconditionnelle, qui consiste à accepter sans condition la présence du religieux au sein de l’action publique.

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)0.003
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 score0.578
Threshold uncertainty score0.850

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.016
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.000

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 head0.211
GPT teacher head0.499
Teacher spread0.289 · 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

Citations1
Published2019
Admission routes2
Has abstractyes

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