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Record W2040772736 · doi:10.7202/1024936ar

L’apocalypse dans l’islam, d’hier à aujourd’hui, de la tradition à la blogosphère

2014· article· fr· W2040772736 on OpenAlexaffvenue
Jean-René Milot, Frédéric Castel

Bibliographic record

VenueFrontières · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Que ce soit dans le judaïsme, le christianisme ou l’islam, la littérature apocalyptique a scruté les textes fondateurs pour y déceler des indices, des « signes » permettant de reconnaître l’approche de « l’Heure » pour s’y préparer et donner un sens à la terreur appréhendée. Dans l’islam cette recherche a pris une tournure particulière. Aujourd’hui comme hier, pour combler les silences du Coran, un foisonnement d’hadiths complaisants, inspirés de l’apocalyptique judéo-chrétienne, donne libre cours à des spéculations répondant à des besoins de piété mais aussi à une quête de légitimité pour un activisme politique débridé. Cet article montre comment s’est construite l’apocalyptique musulmane pour enfin relever que certains éléments comme le Dadjal (Antéchrist) connaissent actuellement un développement exponentiel sur Internet, milieu virtuel qui aura permis l’émergence d’une pensée hybride (jumelant tradition musulmane et conspirationisme occidental) et sauvage voulant donner sens aux troubles du temps présent.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.008
Scholarly communication0.0070.006
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0170.002

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 head0.011
GPT teacher head0.274
Teacher spread0.263 · 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 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
Published2014
Admission routes2
Has abstractyes

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