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Record W2918623991 · doi:10.1017/s0008423918000999

A Tale of Two Liberalisms? Attitudes toward Minority Religious Symbols in Quebec and Canada

2019· article· en· W2918623991 on OpenAlexafffundabout
Luc Turgeon, Antoine Bilodeau, Stephen White, Ailsa Henderson

Bibliographic record

VenueCanadian Journal of Political Science · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsCarleton UniversityConcordia UniversityUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of CanadaConcordia UniversityUniversité du Québec à Montréal
KeywordsNeutralityOpposition (politics)LiberalismRest (music)ConscienceReligious freedomPolitical scienceLawSociologySocial psychologyPsychologyEconomic freedomPolitics

Abstract

fetched live from OpenAlex

Abstract Proponents of restrictions on the wearing of religious symbols in public institutions in Quebec have often framed their support in the language of liberalism, with references to “gender equality”, “state neutrality” and “freedom of conscience”. However, efforts to account for support for restrictions on minority religious symbols rarely mention liberalism. In this article, we test the hypothesis that holding liberal values might have different attitudinal consequences in Quebec and the rest of Canada. Our findings demonstrate that holding liberal values is associated with support for restrictions on the wearing of minority religious symbols in Quebec, but it is associated with opposition to such restrictions in the rest of Canada. Moreover, this difference between Quebec and the rest of Canada in the relationship between liberal values and support for restrictions on minority religious symbols can explain Quebecers' greater support for restrictions.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.418

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0100.005
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.014
GPT teacher head0.310
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 designObservational
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

Citations50
Published2019
Admission routes3
Has abstractyes

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