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Record W2514946936 · doi:10.1080/10304312.2016.1231781

Serving fishy realness: representations of gender equity on <i>RuPaul’s Drag Race</i>

2016· article· en· W2514946936 on OpenAlex
Jorge Crespo González, Kameron C. Cavazos

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

VenueContinuum · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsDragMainstreamSociologyGender studiesArtificialityIdeologyHuman sexualityAestheticsRepresentation (politics)Stereotype (UML)Race (biology)MaterialismQueerPoliticsSocial psychologyPsychologyEpistemologyPolitical scienceArtLawPhilosophy

Abstract

fetched live from OpenAlex

Critical theorists argue that a dialectical materialism exists between ideology and culture and the material conditions of society. The same can be said for the production of sexuality and gender on television. Representations of drag queens in mainstream media have appeared in Hollywood films such as Victor/Victoria, Paris is Burning and The Birdcage. This paper argues that the complexity and holistic representation of drag queens in television media is often as complicated as the lived realities of drag queens themselves. By analysing a popular reality television show, RuPaul’s Drag Race, this paper will employ a rubric based on three stages to explore how gender is represented to the public. Each stage progresses from mocking drag queens and perpetuating negative stereotypes about genderqueer individuals, to more ‘normalizing’ depictions of said participants while still reinforcing heteronormative stereotypes, to ultimately portraying drag queens as holistic people on equal footing with their heterosexual counterparts. Implications and recommendations for further research are also presented at the conclusion of this paper.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.601
Threshold uncertainty score0.454

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.074
GPT teacher head0.375
Teacher spread0.301 · 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