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Record W4414145229 · doi:10.5206/sc.v13i1.23034

Multiculturalism in a Secular Society

2025· article· en· W4414145229 on OpenAlexaboutno aff
Jacob VanHelder

Bibliographic record

VenueThe Social Contract · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismSecularismNeutralityIdeologyPoliticsState (computer science)Minority rightsSecular state

Abstract

fetched live from OpenAlex

Integrating multicultural societies within secular states presents complex challenges for balancing religious freedom, cultural identity, and state neutrality. This article examines the divergent approaches of Canada and France, analyzing how their respective models of secularism—negative and positive—shape the integration of minority cultural and religious groups. Canada’s hostile secularism, which maintains structural separation while accommodating religious expression in the public sphere, fosters egalitarian multiculturalism by recognizing polyethnic rights and promoting fair integration. In contrast, France’s positive secularism, which enforces strict ideological separation and restricts religious visibility in public life, impedes the political and social inclusion of minority communities. Drawing on theories of neutrality and multiculturalism, the study argues that hostile secularism, coupled with an open neutrality framework, better supports pluralistic societies by allowing diverse cultural and religious identities to coexist in the public realm. The findings highlight the limitations of rigid secularism in multicultural contexts and advocate for policies that reconcile state neutrality with the equitable recognition of minority rights.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.603
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.017
GPT teacher head0.384
Teacher spread0.367 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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