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Record W3003134393 · doi:10.1177/0037768619894513

L’angle mort de la « laïcité ouverte » : les processus de navigation et négociations dans le vécu religieux au Canada

2020· article· en· W3003134393 on OpenAlexaffabout
Jennifer A. Selby, Lori G. Beaman, Amélie Barras

Bibliographic record

VenueSocial Compass · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsYork UniversityUniversity of OttawaMemorial University of Newfoundland
Fundersnot available
KeywordsReligiosityNegotiationSecularismAccommodationStatus quoSociologyPower (physics)HumanitiesWelfare economicsEthnologyPolitical scienceLawPhilosophyPsychologyPoliticsSocial science

Abstract

fetched live from OpenAlex

Building on our critiques of the reasonable accommodation of religious minorities in Canada (see Selby et al., 2018a ; Beaman, 2017 ; Barras, 2016), this paper argues for attention to processes as intrinsic to everyday interactions of religiosity (following Tully, 1995, 2000 ; Van Quaquebeke et al., 2007). We contend that frameworks like Maclure and Taylor’s (2010) on ‘open’ and ‘closed’ secularism are useful for nation state comparison, but ineffectively account for the power asymmetries lodged within everyday religiosity. Their model protects the status quo ; it does not call institutional values or procedures into question, erases the navigation that occurs before an ‘accommodation’ is requested, and entrenches conflict as reflective of the experiences of religious minorities. Based on interviews with 90 self-defined Muslims in two cities, we propose a model of navigation and negotiation to better capture how religious practices are contextual and embedded in power relations.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.065
Threshold uncertainty score0.473

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0210.022
Scholarly communication0.0080.003
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.076
GPT teacher head0.386
Teacher spread0.310 · 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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