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Record W3006118121 · doi:10.24908/iqurcp.10434

Waacking: A Shift from Gay Refusal to Gender Refusal

2018· article· en· W3006118121 on OpenAlexvenueno aff
Danella Ahlberg

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsDanceAestheticsQueerPerformative utteranceNarrativePerformativityEmbodied cognitionGender studiesHollywoodSociologyConcert dancePerforming artsPsychologyArtVisual artsLiteratureEpistemology

Abstract

fetched live from OpenAlex

The medium of dance is most often valued in Western society for its artistry and great skill of movement. However, the beauty of this medium often overshadows its ability to create pointed, and often political, messages through the body’s kinesthetic movement in physical space. As embodied expression through time and space, dance must be understood as an art form that actively seeks to create meaning (Hellensleben 2010), a fact that is acutely evident in the dance form known as Waacking. Born out of improvisation-based techniques, Waacking originated in gay, Black and Latino underground disco clubs of 1970’s Los Angeles. The gestures of Waacking were inspired by classical Hollywood glamour actresses, culminating in the distinctive fast, rhythmic arm whipping typical of this dance style. Yet, it is the more performative elements of the dance that holds one’s interest by including components of large locomotion, dramatic gesture and facial expression, and a compelling narrative. This expressive style of movement resulted in Waacking becoming a catalyst for gay refusal, functioning as a method for gay men to express themselves and fully explore their identity. Through an analysis of personal experience and online videos in dialogue with the methodologies of embodiment, phenomenology, and performativity, I will explore how Waacking has shifted from a form of gay refusal to a form of gender refusal, allowing there to be a renegotiation of gender standards through the catalyst of black queer kinesthetics and gender kinesthetics.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.010

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 head0.251
GPT teacher head0.447
Teacher spread0.197 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations0
Published2018
Admission routes1
Has abstractyes

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Same venueInquiry Queen s Undergraduate Research Conference ProceedingsSame topicDiversity and Impact of DanceFrench-language works237,207