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Record W4400239392 · doi:10.18274/bl.v14i2.331

Identities in Drag: An Interview with King Sammy Silver on August 20, 2020

2023· article· en· W4400239392 on OpenAlex
Alexa Alice Joubin, Terri Power, King Sammy Silver

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBorrowers and Lenders The Journal of Shakespeare Appropriations · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsMasculinityNothingDragPower (physics)ViolaArtSociologyArt historyPsychoanalysisPsychologyGender studiesPhilosophyEngineering

Abstract

fetched live from OpenAlex

This interview with King Sammy Silver, conducted by Alexa Alice Joubin and Terri Power, explores drag as a stage practice. A London-based actor and YouTube personality, he represents a new generation of trans artists. He has worked with Power on multiple Shakespeare productions at Bath Spa University in the UK and elsewhere, and has been influenced by Power’s Drag King Richard III. He has played Valentine in Two Gentlemen of Verona, Viola in Twelfth Night, Capulet and Tybalt in Romeo and Juliet, and Benedict in Much Ado About Nothing. He reflects on Shakespeare’s role in trans theater today as well as how drag can deconstruct toxic masculinity.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.192
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.251
Teacher spread0.204 · 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