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Record W1574577265 · doi:10.7202/1015001ar

Roland Barthes au théâtre de la Cité

2013· article· fr· W1574577265 on OpenAlexaffvenue
Jonathan Roberge

Bibliographic record

VenueCahiers de recherche sociologique · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicDiverse Cultural and Historical Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

L’article discute des rapports ambigus de Roland Barthes avec le théâtre et des multiples manières par lesquelles il a tenté de mettre ces rapports au clair. L’idée de théâtralité est l’aboutissement de cette démarche. Comme « épaisseur de signes », elle permet un meilleur dialogue avec les sciences humaines et, de là, de penser à nouveaux frais la culture populaire. Dans un premier temps, l’article reprend les discussions contemporaines sur le concept — chez Josette Feral notamment — pour en arriver à la théâtralité comme régime de visibilité, médiation et métaphorisation de l’espace public dans lequel les individus s’entre-aperçoivent tantôt sur un mode performatif, tantôt sur un mode réceptif. Dans un second temps, place est faite aux écrits peut-être plus anciens de Barthes à propos du théâtre brechtien. La venue du Berliner Ensemble à Paris, en 1954, fut un « véritable incendie » aussi parce que Brecht proposait un théâtre proprement immanent, mais dans lequel s’ouvrait une brèche, une possibilité de critique. La troisième partie de l’article poursuit cet effort consistant à repenser la critique à partir d’exemples vernaculaires tels la lutte, le Palace et les vedettes. Ces mythes de la culture de masse mélangent le profane et le sacré d’une telle façon que la critique et les intellectuels qui la portent se doivent de s’adapter et de se remettre en question.

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)0.006
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 score0.038
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0070.006
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0240.006

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 head0.132
GPT teacher head0.366
Teacher spread0.234 · 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".

Quick stats

Citations0
Published2013
Admission routes2
Has abstractyes

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