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Record W2810674824 · doi:10.3138/ctr.175.008

Mobilizing a Slow Theatre Movement through an <i>Atypique</i>. Artist Perspective

2018· article· en· W2810674824 on OpenAlexvenueaboutno aff
Ash McAskill

Bibliographic record

VenueCanadian Theatre Review · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSlownessDanceValue (mathematics)Visual artsMovement (music)AestheticsArtPerspective (graphical)Sociology

Abstract

fetched live from OpenAlex

With our performance industry working from turbo-capitalistic frameworks, artists from neurodiverse and other disability communities are all-too-often passed over. This article calls attention to how an emerging slow theatre movement in Canada is changing these conditions. Slowness, as McAskill argues, is an important mode of perception that values human diversity, resensitizing us to the world we move through. McAskill extends this approach with the Quebec-based atypique artistic movement. Dedicated to recognizing the aesthetic value and professional rights of physically unconventional and neurodivergent artists, McAskill describes in what ways atypique artists are leading new legacies of a slow theatre movement, particularly Les Productions des pieds des mains, a Montreal-based dance-theatre company. Discussing her experiences on-set as a production assistant for a recent contemporary film called Eurêka!, created by Menka Nagrani, the Artistic Director of the company, McAskill theorizes on how the company’s artistic approaches serve as a model of slow theatre, particularly through how they work with and value their diverse artists, who include members of the disability community. Ultimately, McAskill emphasizes the need for slowness in current Canadian theatre and, as she argues, its potentiality to set new conditions of art-making and living in North America.

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), 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: Other · Consensus signal: none
Teacher disagreement score0.833
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.034
GPT teacher head0.272
Teacher spread0.238 · 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

Citations3
Published2018
Admission routes2
Has abstractyes

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