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Record W2787301391 · doi:10.3917/pp.047.0179

L’islam dans une France et une Europe laïques : comment déjouer les pièges de l’extrémisme prétendu musulman ?

2018· article· fr· W2787301391 on OpenAlexaff
Maurice Blanc

Bibliographic record

VenuePensée plurielle · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsAssociation of Canadian Universities for Northern Studies
Fundersnot available
KeywordsHumanitiesPolitical scienceIslamArtPhilosophyTheology

Abstract

fetched live from OpenAlex

Ce texte analyse la place de l’islam en France et en Europe. Il distingue ses formes pacifiques et ses tendances extrémistes et meurtrières. Il soutient que l’islam devrait avoir les mêmes droits et les mêmes devoirs que les religions chrétiennes, en France et dans l’Union européenne (UE). Il considère que les explications de l’extrémisme islamiste par les conditions socio-économiques locales, par les séquelles de la colonisation, ou par l’islam, sont complémentaires et ne s’excluent pas mutuellement. L’extrémisme islamiste est à la fois exogène et endogène à la France et à l’UE. Il y a beaucoup à faire en matière de dés-endoctrinement et le système carcéral est inadapté, particulièrement en France. La collaboration de tous les échelons de l’État avec la société civile est requise, dans une démocratie participative repensée et élargie.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.661
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.087
GPT teacher head0.381
Teacher spread0.293 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2018
Admission routes1
Has abstractyes

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