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Record W2098647853 · doi:10.7202/000369ar

Être musulman après le 11 septembre : l’expérience des descendants d’immigrés maghrébins en France

2009· article· fr· W2098647853 on OpenAlexvenueno aff
Emmanuelle Santelli

Bibliographic record

VenueDiversité urbaine · 2009
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophyPolitical science

Abstract

fetched live from OpenAlex

En retenant l’expérience des descendants d’immigrés maghrébins en France, cet article tente une synthèse des recherches de l’auteure. Si ces dernières ne portaient pas explicitement sur la question religieuse, mais plutôt sur l’insertion socioprofessionnelle et la conjugalité, elles comportaient néanmoins de nombreux éléments à même de contribuer à une réflexion sur ce que signifie « être musulman en France après le 11 septembre ». Ce questionnement sera traité, d’abord, par le biais des discriminations rencontrées dans le monde du travail, avant d’aborder la question des préjugés subis dans la vie quotidienne. Car, outre l’inégalité de traitement, il s’agit d’interroger l’effet de la stigmatisation dans la construction de la citoyenneté de ces individus. Le rôle des médias est mis en cause dans la production des représentations négatives. Renverser le stigmate constitue une lutte pour la définition de soi qui concourt à l’affirmation d’une nouvelle identité musulmane.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.703
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.064
GPT teacher head0.315
Teacher spread0.251 · 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.

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

Citations6
Published2009
Admission routes1
Has abstractyes

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