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Record W2767798291 · doi:10.1515/jcde-2017-0030

Flying? Falling? – Conflicting Representations of Disability in Kevin Kerr’s Skydive (2007) and Brad Fraser’s Kill Me Now (2013)

2017· article· en· W2767798291 on OpenAlexaboutno aff
René Reinhold Schallegger

Bibliographic record

VenueJournal of Contemporary Drama in English · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDramaAppropriationDisability studiesGender studiesSociologyRepresentation (politics)QueerUndoingNarrativeAestheticsArtPsychologyPsychoanalysisVisual artsLiteraturePolitical scienceLawPoliticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract Canadian contemporary theatre is defined by a preponderance of previously marginalised discourses such as Feminist drama, First Nations drama, or Queer drama. The centre to periphery dispersal that has driven the Canadian cultural scene since the Massey Commission’s final report (1951) has favoured the rise of these traditions into public awareness. At the same time, the voice of disabled persons is hardly ever heard on Canadian stages. This paper takes a closer look at two recent texts, Kevin Kerr’s After a concise review of critical texts on disability studies, disability theatre, and disability aesthetics in order to establish an appropriate theoretical framework and terminology, the two plays are analysed for how they represent disability and disabled people. Kerr chooses to elide the different physicalities of his abled and disabled actors, establishing a transformative disability aesthetics. Fraser, in line with his usual modus operandi, opts for a more confrontational hypervisibility of his disabled characters and maximum emotional impact. Both authors are fully abled, however, so while their texts can be considered successful contributions to the representation of disabled persons on the contemporary Canadian stage, with diametrically opposed representational strategies, the question of an appropriation of voice remains pertinent.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.295
Teacher spread0.257 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2017
Admission routes1
Has abstractyes

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