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Record W2399773336 · doi:10.3917/pox.111.0151

Estigma y redención

2015· article· fr· W2399773336 on OpenAlexaff
Julien Beaugé

Bibliographic record

VenueCairn.info · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesPhilosophyArtPolitical science

Abstract

fetched live from OpenAlex

Para hacer frente a las dificultades que encuentran a diario, a causa de su velo, las mujeres musulmanas que entrevistamos utilizan una representación original del problema del velo en Francia: el tema religioso de la paciencia frente a las dificultades. Lejos de un llamamiento a la movilización colectiva en nombre del islam, se trata más bien de «lo que Weber llamó la “teodicea del sufrimiento” [es decir,] la forma en que la religión da sentido al sufrimiento, transformándolo de causa de revolución [o, más modestamente, de protesta] en vehículo de redención» (Peter Berger). Tras mostrar cómo la estigmatización de las mujeres musulmanas con velo es transformada en una «prueba» por el discurso religioso, identificamos los usos que hacen de este tema y las razones que pueden llevarle él.

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)0.003
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 score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0080.040
Scholarly communication0.0070.010
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.326
GPT teacher head0.445
Teacher spread0.118 · 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

Citations8
Published2015
Admission routes1
Has abstractyes

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