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Record W4327571452 · doi:10.1080/17510694.2023.2189361

Creating LGBTQ + drama in the age of COVID-19: an interview with Tom Wright

2023· article· en· W4327571452 on OpenAlexaff
Tom Ue

Bibliographic record

VenueCreative Industries Journal · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsWrightFilm directorDramaScholarshipSociologyArt historyArtCoronavirus disease 2019 (COVID-19)Star trekMedia studiesVisual artsMovie theaterPolitical scienceMedicineLaw

Abstract

fetched live from OpenAlex

In this interview, writer, director, dramaturg, and producer Tom Wright and I examine his experiences with creating LGBTQ + theatre and film during the pandemic. We discuss some of the changes to theatre as an art form, as well as how he negotiates with them. We go on to analyze his two recent offerings: Very Special Guest Star (2021), which had its premiere at the Omnibus Theatre, and I Ain’t Dumb (2022), which premiered in Wright’s hometown, at the Belgrade Theatre Coventry, as part of UK City of Culture celebrations. We conclude by looking at Wright’s first short film ‘Stockholm’ (2021). This interview advances scholarship in two significant respects: first, it offers insights into Wright’s growth as an artist—that is, as a writer, director, and now a filmmaker—and secondly, it illustrates the capacity of theatre and film to explore issues that have remained pressing to the LGBTQ + community, including adoption, mixed-race relationships, and hyphenated identities.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0280.013
Scholarly communication0.0060.006
Open science0.0020.006
Research integrity0.0040.010
Insufficient payload (model declined to judge)0.0060.001

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 head0.121
GPT teacher head0.319
Teacher spread0.198 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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