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Record W2994613648 · doi:10.7202/1065669ar

Prédation, virginité et mauvaise foi chez France Théoret

2019· article· fr· W2994613648 on OpenAlexaffvenue
Eftihia Mihelakis

Bibliographic record

VenueTangence · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsBrandon University
Fundersnot available
KeywordsPhilosophyHumanities

Abstract

fetched live from OpenAlex

L’attention portée à la prédation est sûrement l’une des constantes les plus visibles de l’oeuvre protéiforme de France Théoret, mais à propos de laquelle il y a eu très peu d’études. La prédation prend la forme spécifique, dans Va et nous venge (2015), de la mauvaise foi, un repli de la pensée. Dans cet article, je m’attarde à cette idée que la mauvaise foi génère une violence qui entend éradiquer toute forme de différence, puisqu’elle est toujours à la recherche de l’homogénéité et de la complaisance. Mais, pour Théoret, écrire sur la mauvaise foi c’est aussi donner à lire le pouvoir fragile, ambivalent, de l’adolescence au féminin quand cette dernière s’érige au nom de la défloration.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.937
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.004

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 head0.012
GPT teacher head0.218
Teacher spread0.206 · 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
Published2019
Admission routes2
Has abstractyes

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