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Record W1037691607

A gay/straight comparison of gay voices

2015· article· en· W1037691607 on OpenAlexaboutno aff
Shane M. Lanning

Bibliographic record

VenueCardinal Scholar (Ball State University) · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsGender studiesSociology
DOInot available

Abstract

fetched live from OpenAlex

Queer linguistics has often been criticized as a field that has no application and is
\nconcerned only with theoretical matters (Motschenbacher, 2010, p. 16). This applies theory to
\nexamining the stereotypes that Americans may attribute to homosexual men.
\nThough it has been shown that there is no such dialect as a gay one, there are features that
\nare stereotypically associated with the speech of gay men. For the purpose of this study, three of
\nthose features (the lisp, a raised pitch, and formal [–iŋ] endings) were examined in US and
\nCanadian stand-up performances of heterosexual and homosexual Caucasian comedians in order
\nto discover how salient the features might be in the US and Canada. Perception studies have
\nexamined these features in the past (Smyth, Jacobs, & Rogers, 2003; Campbell-Kibler, 2007;
\nVan Borsel, et. al., 2009). Though no definitive results were uncovered in these studies, there is
\nsome evidence that people attribute these features to assumed gay speakers.
\nEight Caucasian US and Canadian comedians' performances of "gay" speech were
\nexamined and compared to their natural voices. Four comedians were homosexual, and four were
\nheterosexual. All of the comedians were in their 20s and 30s. Data was collected on the
\npronunciation of [s] vs. [s̪], mean frequency or pitch, and occurrences of formal [–iŋ] vs.
\ninformal [–In] endings. 
\nFormal [–iŋ] vs. informal [–In] endings did not show any patterns, but this is likely due to
\nthe relatively small number of occurrences. Comedians in the heterosexual group and the
\nhomosexual group raised their pitch when performing a gay voice. The heterosexual group,
\noverall, raised their pitch more often than the homosexual group. The lisp was only employed by
\none homosexual comedian, and it was employed by half of the heterosexual comedians.Formal [–iŋ] vs. informal [–In] endings did not show any patterns, but this is likely due to
\nthe relatively small number of occurrences. Comedians in the heterosexual group and the
\nhomosexual group raised their pitch when performing a gay voice. The heterosexual group,
\noverall, raised their pitch more often than the homosexual group. The lisp was only employed by
\none homosexual comedian, and it was employed by half of the heterosexual comedians.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.078
GPT teacher head0.242
Teacher spread0.164 · 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 designObservational
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

Citations1
Published2015
Admission routes1
Has abstractyes

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