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Record W2766675328 · doi:10.1123/ssj.2017-0024

The Intersections of Dance and Sport

2017· article· en· W2766675328 on OpenAlexaff
Pirkko Markula

Bibliographic record

VenueSociology of Sport Journal · 2017
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDanceEntertainmentAthletesSociologyAestheticsAdvertisingBallroomVisual artsArtPsychologyMedia studiesMedicineBusiness

Abstract

fetched live from OpenAlex

Is sport art? Is dance a sport? Such questions are asked on the pages of social media as well as on the pages of research journals. Debating whether dancers are athletes or sport has aesthetic qualities can reveal broader issues regarding the current health conscious, competitive, and commercialized (neo-liberal) culture: What do dance and sport do when they intersect in the larger operations of power that currently favor particular kinds of physical activity participation and representation? In this paper, I map various intersections of sport and dance first through sport philosophical debates about the aesthetic qualities of sport. Second, I examine what happens when competition is introduction to ballroom dance in the formation of DanceSport. Finally, I depict how dance and sport become intertwined as entertainment in reality television shows Dancing with the Stars and So You Think You Can Dance .

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.835

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.335
Teacher spread0.304 · 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.

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

Citations26
Published2017
Admission routes1
Has abstractyes

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