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Record W2769722458 · doi:10.1177/1363460717741809

Panti Bliss still can’t get hitched: Meditations on performativity, drag, and gay marriage

2017· article· en· W2769722458 on OpenAlexafffund
Emer O’Toole

Bibliographic record

VenueSexualities · 2017
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsConcordia University
FundersFonds de Recherche du Québec-Société et Culture
KeywordsPerformativityPerformative utteranceQueerSociologyQueer theoryHeteronormativityGender studiesAestheticsPoliticsTransgenderHegemonyIdentity (music)ArtLawPolitical science

Abstract

fetched live from OpenAlex

This article uses the activism of drag queen Panti Bliss during Ireland’s marriage equality campaign to revisit two of the foundational debates of performativity theory: namely, the contentious political and ontological status of drag and the function of the exemplary performative “I do.” It attempts to answer Judith Butler’s provocative question: “what happens to the performative when its purpose is precisely to undo the presumptive force of the heterosexual ceremonial” (1993a: 16). Taking account of concerns about LGBTQ assimilation, it argues that the gay “I do” creates new categories of inclusion and abjection, and, ultimately, new categories of the queer. It suggests, further, that the ontological slippage inherent to drag – often more than “just” performance, yet not quite constitutive of a performative identity – can help to maintain and reignite the political power of the queer in the face of hegemonic co-option.

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)0.002
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0110.032
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0030.001

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 head0.102
GPT teacher head0.422
Teacher spread0.320 · 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

Citations4
Published2017
Admission routes2
Has abstractyes

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