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Record W2991753921 · doi:10.4000/elh.2009

Raconter et jouer l’histoire de l’opprimé, est-ce encore l’opprimer ?

2019· article· fr· W2991753921 on OpenAlexaboutno aff
Agathe Giraud, Florence Naugrette

Bibliographic record

VenueÉcrire l histoire · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

À l’été 2018, le spectacle de Lepage avec la troupe du Théâtre du Soleil, Kanata – qui évoque le sort des Autochtones au Canada – est accusé d’appropriation culturelle et annulé au Québec même s’il reste programmé en France : un Blanc n’a-t-il pas le droit de raconter l’histoire des opprimés des Premières Nations ? Le présent article examine les enjeux que soulève cette controverse pour la représentation théâtrale. Même si les revendications des Autochtones à faire reconnaître leur histoire et à obtenir des espaces d’expression sont légitimes, l’accusation d’appropriation culturelle, en mettant sur le même plan identité et culture, interdit toute représentation de l’autre. Comment rendre encore possibles les arts mimétiques si l’on exige identité et appartenance entre le représenté et le représentant ? Plus que la légitimité du créateur à parler de l’autre, il faut interroger le dispositif artistique qui, s’il est maladroit, peut effectivement relayer une forme de racisme, même involontaire. Il n’en est rien pour Kanata.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.283
Threshold uncertainty score0.562

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.025
Scholarly communication0.0100.004
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.001

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 head0.087
GPT teacher head0.390
Teacher spread0.304 · 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 designTheoretical or conceptual
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
Published2019
Admission routes1
Has abstractyes

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