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Record W2050113895 · doi:10.3138/md.2012-0465

To Witness Mimesis: The Politics, Ethics, and Aesthetics of Testimonial Theatre in <i>Through the Wire</i>

2013· article· en· W2050113895 on OpenAlexvenueno aff
Caroline Wake

Bibliographic record

VenueModern Drama · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTestimonialWitnessScholarshipRealismPoliticsAestheticsTheatre studiesPolitical theatreArtSociologyLiteraturePolitical scienceLawAdvertisingDrama

Abstract

fetched live from OpenAlex

ABSTRACT: This paper examines an Australian “verbatim play” about asylum seekers, Through the Wire, in order to consider the relationship between realism and witnessing in the theatre. It argues that verbatim or testimonial theatre is better understood as a form of realism than as a form of documentary theatre, as is usually the case. Current scholarship in both theatre and trauma studies criticizes realist approaches principally on ethical grounds, without necessarily accounting for a play’s political effects. Through an analysis of Through the Wire’s production and reception, I suggest that, while testimonial theatre may be ethically problematic, it can also be politically efficacious, precisely because of its realist aesthetics.

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)0.008
metaresearch head score (Gemma)0.016
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: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.037
Scholarly communication0.0110.005
Open science0.0010.009
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0080.001

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 head0.031
GPT teacher head0.251
Teacher spread0.220 · 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
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

Citations38
Published2013
Admission routes1
Has abstractyes

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