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Record W2889197292 · doi:10.1177/0008429818769470

Échapper à la menace du fondamentalisme religieux

2018· article· fr· W2889197292 on OpenAlexaffvenue
Mathilde Vanasse‐Pelletier

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Cet article aborde la manière dont sont construites les catégories de « déviance » et de « normalité » en lien avec la religion mormone (fondamentaliste et mainstream) dans la série de téléréalité Breaking the Faith. Cette série diffusée à la chaîne TLC en 2013 présente des jeunes membres de l’Église fondamentaliste de Jésus-Christ des Saints des Derniers Jours (FLDS) s’adaptant à la vie à l’extérieur de leur groupe d’origine, dans la capitale du mormonisme mainstream (LDS), Salt Lake City. Nous mettons à jour, en nous basant sur une perspective constructiviste de la déviance, plus particulièrement la théorie de l’étiquetage, la manière dont la religion (monogame) de l’Église de Jésus-Christ des Saints des Derniers Jours est représentée comme légitime et normale en contraste avec celle des groupes mormons polygames, présentés comme déviants. Pour ce faire, la trame narrative de la série est étudiée, ainsi que les modalités de mise en scène – teintées d’une rhétorique anti-sectes – dans lesquelles s’ancrent les représentations de ces nouveaux mouvements religieux.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.015
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.088
GPT teacher head0.431
Teacher spread0.343 · 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

Citations0
Published2018
Admission routes2
Has abstractyes

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