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Record W2085543160 · doi:10.1080/10350330903072656

Becoming the homovoyeur: consuming homosexual representation in<i>Queer as Folk</i>

2009· article· en· W2085543160 on OpenAlexaff
Sheri L. Manuel

Bibliographic record

VenueSocial Semiotics · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsQueerQueer theoryLesbianSociologyEntertainmentIdentity (music)Gender studiesConsumption (sociology)Reading (process)AestheticsRepresentation (politics)TransgenderHomosexualityMedia studiesArtVisual artsLinguisticsPolitical science

Abstract

fetched live from OpenAlex

Gay and lesbian representations in television programming have changed drastically in the past few years with the introduction of shows such as The L Word and Queer as Folk. The number of heterosexuals watching queered television has also increased, leaving us wondering how we can interpret their growing numbers as cultural consumers of queer portrayals. This article infuses cultural and queer studies with sociology, proposing that straight viewers of the television program Queer as Folk become “homovoyeurs” through their consumption of queer imagery as spectacle and entertainment. Through a semiotic reading, I also suggest that queer television programming – while opening up symbolic spaces for cross-sexual identity consumption – still leaves intact barriers to meaningful interaction and dialogue across the homosexual/heterosexual identity boundary.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.024
Scholarly communication0.0060.003
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.042
GPT teacher head0.365
Teacher spread0.322 · 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

Citations23
Published2009
Admission routes1
Has abstractyes

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