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La farce aujourd'hui

2014· book· fr· W2990720796 on OpenAlexaboutno aff

Bibliographic record

VenueCNRS Éditions eBooks · 2014
Typebook
Languagefr
FieldPsychology
TopicHistorical and Modern Theater Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Ce volume réunit des réflexions sur la résurgence de la farce médiévale depuis la seconde moitié du xxe siècle. En effet, malgré l'importance de ce registre, peu d'études à ce jour ont entrepris de réfléchir tout à la fois sur sa présence insistante (et, sous certains aspects, paradoxale) et sur les liens que la farce d'aujourd'hui tisse avec son ancêtre médiévale. De Tardieu à Vinaver, les auteurs étudient la place de la farce sur les scènes contemporaines, l'ouvrage faisant la part belle à des dramaturges majeurs de l'extrême contemporain comme Rodrigo Garcia, Griselda Gambaro ou bien Elfriede Jelinek. Couvrant plusieurs aires linguistiques (française, anglaise, allemande, américaine, espagnole, israélienne, italienne, roumaine...), cette étude constitue, sans être exhaustive, une sorte de bilan d'un des aspects les plus importants de la dramaturgie moderne. L'ensemble se trouve enrichi de deux entretiens : l'un avec le dramaturge suisse de langue allemande Urs Widmer, l'autre avec le metteur en scène français Christian Schiaretti (directeur du TNP). Trois brefs extraits de Mistero Buffo de Dario Fo, traduits en « joual » – dialecte de la région de Montréal – par le dramaturge québécois Michel Tremblay, exemplifient le travail sur la langue que le comique porte en son essence depuis le Moyen Âge.

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, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.389
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.011

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 head0.040
GPT teacher head0.301
Teacher spread0.261 · 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
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
Published2014
Admission routes1
Has abstractyes

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