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Record W3003050770 · doi:10.1177/0037768619894511

L’Église, la femme et l’affect : récits sur la désirabilité du modèle laïc au Québec ou comment fabriquer un projet politique en contexte séculier?

2020· article· en· W3003050770 on OpenAlexaffabout
Géraldine Mossière

Bibliographic record

VenueSocial Compass · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSociologySecularizationHumanitiesPoliticsBaby boomersSecularismRhetoricGender studiesReligious studiesPolitical scienceLawPhilosophyTheology

Abstract

fetched live from OpenAlex

This article is based on life stories collected between 2014 and 2018 among a population of baby boomers of French Canadian descent, whose personal path echoes the social and political history of the province. Following their socialization in a Catholic context, this generation has known a rapid phase of secularization, modernization and diversification that, since the end of the 1960s, have impacted the local social and political landscape of the province. The entanglement between individual and collective experiences shapes a particular rhetoric on the « laïc » (secularist) project in Quebec that hinges on memories of Catholicism, concern for gender equity and pluralist ethics. Drawing on Maclure and Taylor’s model of open and closed secularism, the author discuss the means and ends of the moral principles underlying baby boomers’ narratives.

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)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.481

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.019
Scholarly communication0.0080.003
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.125
GPT teacher head0.378
Teacher spread0.254 · 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 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

Citations3
Published2020
Admission routes2
Has abstractyes

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