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Record W2612684485 · doi:10.1177/0008429817696298

Is Quebec Still a Catholically Distinct Society within Canada? An Examination of Catholic Affiliation and Mass Attendance

2017· article· en· W2612684485 on OpenAlexaffvenueabout
Jean‐François Nault, É.-Martin Meunier

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsUniversity of OttawaUniversity of Toronto
Fundersnot available
KeywordsSecularizationReligiosityAttendanceChurch attendanceContext (archaeology)ImmigrationGender studiesSociologyPopulationDemographyEthnologyPolitical scienceHistoryLaw

Abstract

fetched live from OpenAlex

Since the Quiet Revolution, Quebec has significantly transformed its relationship to Catholicism. Some commentators have even gone as far as discussing an increasingly important secularization within the province. Yet, an examination of the main indicators of religiosity in Quebec provides evidence for the permanence of a certain cultural Catholicism. However, this cultural Catholicism is tending to gradually fade over time, giving place to the reconfiguration of the regime of religiosity. Meanwhile, in the rest of Canada, Catholicism tends to grow, primarily due to the immigrant population in recent years. In this general context, is Quebec still a “Catholically distinct” society? To answer this question, the authors use a series of logistic models to examine the main determinants of Catholic affiliation and Mass attendance. Age, place of birth and mother tongue emerge as principal determinants of religious affiliation and practice. Based on the findings from these models, the authors show that Quebec remains a Catholically distinct society in comparison with other Canadian regions. However, the gap between this province and the rest of Canada seems to have been increasingly fading, at least over the last thirty years.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.001
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 head0.074
GPT teacher head0.405
Teacher spread0.331 · 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; both teacher heads agree on what is shown here.

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

Citations17
Published2017
Admission routes3
Has abstractyes

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