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Record W4220812386 · doi:10.3389/fspor.2022.795541

“It Can Be Magic:” Creating Age Awareness Through Contemporary Dance

2022· article· en· W4220812386 on OpenAlexafffund
Pirkko Markula, Kathy Metzger, Tamara J. Bliss, Wendy Gervais, Mary Ann Rintoul, Jodie Vandkerkhove

Bibliographic record

VenueFrontiers in Sports and Active Living · 2022
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDanceIdealizationChoreographyMAGIC (telescope)AestheticsContemporary danceSociologyDance educationPsychologyVisual artsArt

Abstract

fetched live from OpenAlex

Professional dancers typically retire before age 40. Although the physical requirements for dance performance are often considered the reason for retirement, there is an increasing number dance researchers who demonstrate that the idealization of youthfulness on the stage is also a result of complex cultural, social, and economic realities and as such, in need of critique. As a group of mature women dancers who continue to perform, we aim to critique the idealization of youthfulness as a form of ageism in professional dance. In this paper, we present findings from our feminist memory-work study in which we critically reflected the rehearsals and performance of a choreography titled "Initiation." We detail three main themes-"It Will Only Get Worse;" "It Can Be Magic;" "Once a Dancer Always a Dancer"-that emerged from our study. We conclude that we gained critical awareness of the gendered and ageist construction of dance as a performing art. As a result, we now feel empowered to continue our work as mature dance artists.

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 score0.153
Threshold uncertainty score0.808

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.286
Teacher spread0.253 · 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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