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Record W2032850309 · doi:10.7202/041715ar

Violences sur la scène contemporaine : nécessité ou gratuité?

2010· article· fr· W2032850309 on OpenAlexvenueno aff
Eleni Papalexiou

Bibliographic record

VenueL’Annuaire théâtral Revue québécoise d’études théâtrales · 2010
Typearticle
Languagefr
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Sur la scène contemporaine, la monstration de la violence rencontre la perplexité grandissante d’un public qui n’accepte pas facilement les pratiques théâtrales dont il pense qu’elles l’agressent inutilement et auxquelles il ne trouve, par conséquent, pas de justification. Toutefois, les avis sont divisés et ceux qui croient que le théâtre peut avoir une action sociale concrète ne s’insurgent pas contre la violence qui leur est faite. Au contraire, ils en défendent l’intérêt artistique, la justesse, voire l’absolue nécessité. Ainsi reconsidérée, la violence détient, selon eux, une force mobilisatrice qui n’est peut-être pas à bouder. Générant une tension dans le public, elle est susceptible d’éveiller l’indignation et de susciter la réflexion. La violence a-t-elle ou non la capacité de responsabiliser le public, de muer le spectateur en acteur? Ou bien le public n’est-il pas plutôt forcé à un certain voyeurisme? Son goût du sensationnalisme n’est-il pas ici davantage flatté que critiqué? La création artistique actuelle est traversée par des courants d’une grande radicalité, et c’est au sujet de quelques-uns de ses avatars les plus représentatifs (notamment Jan Fabre et Rodrigo García) que nous proposons de nous interroger.

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)0.002
metaresearch head score (Gemma)0.005
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: Empirical · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.031
Scholarly communication0.0120.006
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0160.002

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 head0.028
GPT teacher head0.328
Teacher spread0.300 · 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
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
Published2010
Admission routes1
Has abstractyes

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