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Record W4416940098 · doi:10.2298/medjp2504617s

Restrictive France, permissive Europe? Discussing the specificity of the French public governance of religions

2025· article· en· W4416940098 on OpenAlexaff
Frédéric Strack

Bibliographic record

VenueMedjunarodni problemi · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsCorporate governanceCohesion (chemistry)Public discoursePublic policyPermissiveWestern europe

Abstract

fetched live from OpenAlex

French public regulation of religions is often portrayed as uniquely restrictive among Western democracies. This article argues for a more nuanced understanding of the French governance of religion by situating it in both international and domestic perspectives, and by contrasting national dynamics with local practices. At the national level, France indeed exhibits an increasingly restrictive orientation, particularly regarding the visibility of religious signs. Yet this trend coexists with other, more accommodating regulatory instruments, and is not exclusive to France but observable internationally, across several Western societies. At the local level in France, the picture is even more complex: numerous public initiatives continue to facilitate or support religious practice, sometimes explicitly framed as contributions to social cohesion or equality of treatment. Based on a study of legal documents and interviews with local elected officials, the article attempts to answer the following question: how can we better assess the public regulation of religions, in particular in the case of France? Departing from a focus limited to the national level and Muslim community practices, the article advocates for an analysis of the public regulation of religion as a whole, taking into account both national and local levels, as well as concepts of restriction and accommodation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.823
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.293
Teacher spread0.275 · 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 teacher head, 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

Citations1
Published2025
Admission routes1
Has abstractyes

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