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Record W2110628958 · doi:10.7202/1025463ar

Les artistes femmes

2014· article· fr· W2110628958 on OpenAlexvenueno aff
Elisabeth Spettel

Bibliographic record

VenueRecherches féministes · 2014
Typearticle
Languagefr
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Le xxe siècle, qualifié par Felix Hobsbawm d’« âge des extrêmes », a été particulièrement marqué par le désir de repousser les limites, qu’elles soient politiques, morales ou esthétiques. Ces dernières sont transgressées par les avant-gardes artistiques qui cherchent à subvertir les codes classiques. Parmi elles, les artistes femmes remettent en question plus particulièrement le genre avec une certaine radicalité grâce à l’invention de procédés spécifiques. Cet article porte sur la pratique du photomontage par Hannah Höch (artiste dadaïste berlinoise) et Wangechi Mutu (artiste contemporaine kenyane) dans des contextes différents. Les deux créatrices font du collage une véritable technique féministe ayant pour objet de déconstruire les catégories et tendant à une forme d’universalité. Dans leur production, l’extrême qualifie la relation entre l’artiste, l’oeuvre et le spectateur ou la spectatrice et il inclut paradoxalement une limite, celle du regard.

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.004
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0220.002

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 head0.220
GPT teacher head0.306
Teacher spread0.086 · 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
GenreOther

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".

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Citations1
Published2014
Admission routes1
Has abstractyes

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