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Record W4282592114 · doi:10.1080/14647893.2022.2075335

Soviet bodies in Canadian DanceSport: identities and culture in four competitive ballroom dance studios

2022· article· en· W4282592114 on OpenAlexaffabout
David Outevsky

Bibliographic record

VenueResearch in Dance Education · 2022
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDanceStudioDance educationVisual artsBallroomArtChoreography

Abstract

fetched live from OpenAlex

This article examines the processes of cultural transfer and cross-pollination within four diasporic DanceSport studios located in major cities in Canada. It focuses on first- and second-generation Soviet-Canadian competitive ballroom dancers and their experiences with identity as a diasporic community. Through an ethnographic study, it explores the adaptations of these dancers to the Canadian DanceSport industry and the roots of their teaching methodologies in Soviet physical culture. Using narrative vignettes based on fieldwork and examined through a Dance Studies lens, this article shows how the participants navigated the expectations of their parents’ and coaches’ traditional Soviet upbringing and used multicultural identities in their approach to dance practice and daily interactions. This analysis is tied to the parallel yet divergent evolution of educational methodologies in the former USSR and Canada and illustrates how the DanceSport industry was nudged by these migrant dancers toward a focus on athletic excellence, while the dancers themselves adapted to social dance pedagogy and commercialization of ballroom dance in North America. Using interview excerpts and observations, this research gives voice to practitioners and aims to increase awareness of migration flows and cultural influences in DanceSport.

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)0.000
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 score0.383
Threshold uncertainty score0.778

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.088
GPT teacher head0.424
Teacher spread0.336 · 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
Published2022
Admission routes2
Has abstractyes

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