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Record W4367285541 · doi:10.7202/1092240ar

De Michel Foucault à Silvia Federici : écrire l’histoire du corps des femmes

2022· article· fr· W4367285541 on OpenAlexvenueno aff
Jean-Baptiste Vuillerod

Bibliographic record

VenueRecherches féministes · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtMichel foucaultPhilosophyPolitics

Abstract

fetched live from OpenAlex

L’auteur cherche à comprendre la réappropriation par Silvia Federici, dans son ouvrageCaliban et la Sorcière, du projet généalogique de Michel Foucault. En mettant en évidence leur commune insistance sur l’histoire des corps, l’auteur veut, d’une part, souligner la féminisation de l’écriture de l’histoire qui s’opère chez Federici, qui s’oppose au point de vue neutre – en réalité androcentré – à l’oeuvre dans le projet foucaldien. D’autre part, grâce à ce rapprochement, il souhaite montrer la pertinence de l’écriture de l’histoire chez Federici, qui s’inscrit, comme celle de Foucault, dans une philosophie de l’actualité pour laquelle l’histoire doit permettre de transformer le 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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.014
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.151
GPT teacher head0.340
Teacher spread0.189 · 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.

Study designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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