MétaCan
Menu
Back to cohort
Record W4406955907 · doi:10.1080/15290824.2024.2429504

“Dance Isn’t a Sport, It’s for Girls”: Examining the Role of Gender in Interuniversity Sport Participation for Competitive Dancers

2025· article· en· W4406955907 on OpenAlexafffundabout
Natalie Tacuri, Dawn Zinga, Danielle S. Molnar

Bibliographic record

VenueJournal of Dance Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsBrock UniversityMcGill University
FundersSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsDancePsychologyDance educationCompetitive sportAthletesApplied psychologySociologySocial psychologyVisual artsArtPhysical therapyMedicine

Abstract

fetched live from OpenAlex

This article examines the impact of gender in competitive dancers’ access to and recognition within interuniversity sport. We interviewed competitive dancers, dance coaches, and athletic department staff in universities across Ontario, Canada to understand how participants’ roles, prior knowledge and experience with dance and sport, and views on gender may influence their understandings of dance. We examined three themes: (1) dance as dominated by women, (2) gendered dynamics in athletic departments, and (3) the erasure of dancers as athletes. The findings highlight significant biases favoring men’s sports, the disadvantages of dance being understood as “female dominated,” and the ambiguous status of dancers as student-athletes and dance as a sport. Gender biases and societal stereotypes compounded these challenges, further perpetuating inequalities in university athletic departments. This study advocates for systemic changes within athletic departments to create an environment where dancers can not only participate as student-athletes, but be celebrated as true student-athletes.

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)0.001
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 score0.248
Threshold uncertainty score0.234

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.048
GPT teacher head0.380
Teacher spread0.332 · 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

Citations2
Published2025
Admission routes3
Has abstractyes

Explore more

Same venueJournal of Dance EducationSame topicSport and Mega-Event ImpactsFrench-language works237,207