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Record W2015410441 · doi:10.7202/1024732ar

La série télévisée Little Mosque on the Prairie1 de Zarqa Nawaz et le discours de l’authenticité musulmane2

2014· article· fr· W2015410441 on OpenAlexaffvenue
F. V. Greifenhagen

Bibliographic record

VenueThéologiques · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsHumanitiesIslamEthnologyPolitical sciencePhilosophySociologyTheology

Abstract

fetched live from OpenAlex

Mis au défi de se construire une identité religieuse viable, dans un contexte nord-américain où non seulement ils sont minoritaires et souvent membres de communautés immigrantes, mais où ils sont aussi victimes des stéréotypes négatifs courants, dans le discours politique et médiatique dominant, les musulmans empruntent souvent le discours de l’authenticité musulmane. Ce discours invoque notamment la distinction entre traditions culturelles, interprétées comme contextuelles et limitées, et « véritable islam », vu comme universel et éternel. Avec ce discours en toile de fond, le présent article analyse la série télévisée, Little Mosque on the Prairie , créée par Zarqa Nawaz. Plutôt que de rejeter les expressions culturelles de l’islam, l’oeuvre de Nawaz semble suggérer qu’une identité musulmane authentique, en tant que construction culturelle, peut s’acclimater en Amérique du Nord et, cela, en dépit des contre-discours, musulmans et non musulmans, qui représentent l’identité musulmane comme sans commune mesure avec les contextes culturels occidentaux.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.091
GPT teacher head0.387
Teacher spread0.297 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2014
Admission routes2
Has abstractyes

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