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Record W4283768947 · doi:10.4000/communication.15199

Endoctriner et radicaliser sur la Toile

2022· article· fr· W4283768947 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCommunication · 2022
Typearticle
Languagefr
FieldArts and Humanities
TopicMarxism and Critical Theory
Canadian institutionsUniversité de MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Cet article s’appuie sur les résultats d’une recherche portant sur l’extrême-droite et qui visait à analyser les liens multiples existant entre les médias et la radicalisation menant à la violence. L’équipe de recherche a recouru à plusieurs types de méthodologies aussi bien quantitatives que qualitatives découlant d’entretiens menés avec près de 70 individus radicalisés, et d’observations directes d’événements réunissant leurs groupes Le présent article retient les propos explicites de deux individus radicalisés et s’attèle en particulier à l’analyse de centaines de sites consultés sur une période de plusieurs mois, entre 2018 et 2020

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.743
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0580.000

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 head0.028
GPT teacher head0.262
Teacher spread0.233 · 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