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Record W2279297727 · doi:10.3138/ctr.165.011

Transitioning the Theatre Industry

2016· article· en· W2279297727 on OpenAlexvenueaboutno aff
Sunny Drake

Bibliographic record

VenueCanadian Theatre Review · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamTransgenderNarrativeCreativityAestheticsArtSociologyWork (physics)Gender studiesVisual artsPolitical sciencePsychologyLiteratureSocial psychologyEngineering

Abstract

fetched live from OpenAlex

“Transitioning the Theatre Industry” examines the state of trans theatre in Canada. Vibrant creativity abounds in trans, transgender, transsexual, two spirit, and genderqueer communities. Trans artists, particularly those at the intersections of marginalized identities such as trans women of colour, have immense underused contributions to make to Canadian theatre. Yet there is a lack of trans content in theatres, and very few trans artists are able to access careers in theatre. While mainstream trans visibility has increased somewhat, the majority of cultural content about trans people continues to be created by non-trans artists. The voyeuristic biases of non-trans people shape the telling of particular trans narratives with problematic stereotypes. In contrast, at a community level, trans artists are creating compelling work exploring the wholeness of our experiences—not just our surgeries and physical transitions. Theatre presenters are frequently more conservative than their audiences—wide audiences are able to enjoy trans-themed work, although it is also valid for trans artists to make work specifically for trans communities. This article urges support for the development and presentation of trans artists as a priority, yet also explores whether and how non-trans artists can create respectful, nuanced trans characters.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.894
Threshold uncertainty score0.994

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.030
GPT teacher head0.230
Teacher spread0.200 · 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.

Study designNot applicable
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

Citations1
Published2016
Admission routes2
Has abstractyes

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