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Record W4415148393 · doi:10.4000/14y0p

Discipliner les corps, diffuser l’idéologie : engagement corporel et stratégie métapolitique transnationale des Active Clubs

2025· article· fr· W4415148393 on OpenAlexaffabout
Frédérick Nadeau, Tristan Boursier, Isaac Gnocchini

Bibliographic record

VenueAmnis · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversité du Québec à MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsESPACEGender relationsIdentity (music)Context (archaeology)Orality

Abstract

fetched live from OpenAlex

Cet article analyse le phénomène des Active Clubs (AC), un réseau transnational d’extrême droite qui articule pratiques sportives, fraternité viriliste et discours accélérationniste. Inspirés par le Rise Above Movement, ces clubs se présentent comme des espaces de remise en forme tout en opérant comme vecteurs de radicalisation à travers la sociabilité masculine et la transformation de soi. L’analyse repose sur un corpus de plus de 1 000 publications issues de chaînes Telegram canadiennes, françaises et américaines, ainsi que sur des ressources médiatiques produites par le mouvement. Deux concepts structurent l’analyse : la métapolitique, entendue comme une stratégie culturelle visant à diffuser une idéologie en dehors des canaux électoraux, et l’engagement corporel, qui désigne l’ancrage de cette idéologie dans les gestes du quotidien, les routines physiques et les rituels communautaires. Cet article montre que les AC incarnent une forme contemporaine de fascisme diffusée sous les traits d’un style de vie attractif, mis en scène dans des contenus numériques performatifs.

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)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.025
Scholarly communication0.0130.007
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.091
GPT teacher head0.372
Teacher spread0.281 · 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 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

Citations0
Published2025
Admission routes2
Has abstractyes

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