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Record W2502694733 · doi:10.1017/cor.2016.28

Mini & Macho, Small & Sexy: The Perpetuation of Heteronormativity, Hegemonic Masculinity, and Femininity Within the Culture of Competitive (Jazz and Hip-Hop) Dance

2016· article· en· W2502694733 on OpenAlexaboutno aff
Carolyn Hebert

Bibliographic record

VenueCongress on Research in Dance Conference Proceedings · 2016
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsDanceChoreographyJazzHeteronormativityFemininityConcert danceJazz danceSociologyMasculinityGender studiesVisual artsArtHuman sexuality

Abstract

fetched live from OpenAlex

This paper critically assesses the expectations of competitive jazz dance adjudicators and the effects of these expectations on the presentation of gendered and sexualized dance choreographies by private dance studios. Expectations for competitive dance students with regard to technical ability, execution of choreography, and age/gender (in)appropriateness are unclearly articulated by competitions and adjudicators throughout Canada and the United States. Nevertheless, parents and students enter into private dance studios with pre-conceived notions of what it takes to “win” at competition and demand that their training and choreography reflect this. The onus is on dance teachers and choreographers, then, to adhere to this rapidly evolving culture of dance competition, or otherwise risk losing customers and funds. This paper critically examines current trends in competitive jazz and hip-hop dance through interviews and conversations with three professional competition dance adjudicators. As a competitive dance studio choreographer and researcher, I question the role that competitive dance culture plays in the gendering and sexualization of amateur dancing bodies. Ultimately, what are the implications of the perpetuation of heteronormativity, hegemonic masculinity, and femininity through the dances created for competition on adolescent dancing bodies? What other options are available for private competitive dance studios wishing to simultaneously participate in and disrupt this culture without losing their businesses?

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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.163
GPT teacher head0.385
Teacher spread0.222 · 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 teacher head, not a consensus.

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

Citations3
Published2016
Admission routes1
Has abstractyes

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