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Record W3023710647 · doi:10.26522/vp.v17i1.2478

« Parfois j’ai conscience d’être moi ». L’identité plurielle chez Maurice Béjart, entre mémoires et autofiction

2020· article· fr· W3023710647 on OpenAlexaffvenue
Megan Wightman

Bibliographic record

VenueVoix Plurielles · 2020
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsArtHumanitiesConscienceArt historyPhilosophy

Abstract

fetched live from OpenAlex

Cet article se propose d’étudier les deux volumes de mémoires du chorégraphe français Maurice Béjart (1927-2007), dans l’objectif de cerner une particularité de son écriture autobiographique en tant qu’artiste de la danse. Les analyses, qui se concentrent sur la représentation de l’identité plurielle de Béjart, révèlent l’emploi de conventions associées à la définition de l’autofiction de Philippe Gasparini. Or, ces conventions ne résultent pas en une version fictionnalisée du récit de vie, mais s’avèrent participer à une stratégie discursive qui fait du texte une performance littéraire de l’identité artistique de Béjart.
 
 Mots-clés : mémoires, autofiction, Maurice Béjart, chorégraphe, identité plurielle, autobiographie

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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 score0.829
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.002

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 head0.020
GPT teacher head0.253
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

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

Citations0
Published2020
Admission routes2
Has abstractyes

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