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Record W4385463492 · doi:10.1080/13569783.2023.2205014

Trans/Queer representation and drama: engendering new forms of empathy and relationality

2023· article· en· W4385463492 on OpenAlexafffundabout
Kathleen Gallagher, Taylor Gokyilmaz

Bibliographic record

VenueResearch in Drama Education The Journal of Applied Theatre and Performance · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsUniversity of WindsorUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDramaPerformative utteranceClosetEmpathySociologyQueerGender studiesRepresentation (politics)AestheticsFriendshipVisual artsPsychologyArtPoliticsSocial psychologyHistorySocial sciencePolitical science

Abstract

fetched live from OpenAlex

A dialogue between Taylor, a trans male Turkish-Canadian theatre student and Kathleen, a queer, cis-gendered female Scottish-Canadian theatre researcher considers some questions that queerness and trans identities in the drama classroom invite. Based on their mutual engagement in a virtual drama club in a Toronto high school in the 2020–2021 school year, they recall together experiences of performance, performative writing, and the strangely intimate relationality provoked by a global health pandemic. They are interested in the possibility of distinct individuals forming powerful collectives in art-making and in life through a reconsideration of the idea of ‘empathy’ newly imagined as relational.

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)0.008
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: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.043
Scholarly communication0.0120.007
Open science0.0020.014
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.088
GPT teacher head0.346
Teacher spread0.258 · 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
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

Citations2
Published2023
Admission routes3
Has abstractyes

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