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Record W2620015565 · doi:10.1123/ssj.2017-0009

“This Dancing Business is More Hazardous Than Any ‘He-Man’ Sport”: Ted Shawn and His Men Dancers

2017· article· en· W2620015565 on OpenAlexaff
Patricia Vertinsky

Bibliographic record

VenueSociology of Sport Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDanceAppropriationFellMasculinityArtSociologyGender studiesAestheticsVisual artsPhilosophy

Abstract

fetched live from OpenAlex

Selecting Springfield College, founding home of the International YMCA as a training ground for male dancers was an inspired choice by American modern dancer Ted Shawn given the founding credo of the College to ‘build builders of men.’ I would like to see men dancing in gymnasiums and stadiums, he claimed, so that the dance could reach again the position it held among the Greeks as the most perfect athletic accomplishment and the finest means of physical training and development. They were earnest and interesting efforts to foster an aura of ‘authentic rugged American masculinity’ for the era, given that Shawn himself was a closeted homosexual and the troupe’s lead dancer was his long term muse and lover Barton Mumaw. Scholars have shown how Shawn’s ideas about gender and sexuality became increasingly complex once he acknowledged his own homosexuality and engaged with ideas about sexual difference. His appropriation of various facets of the physical culture movement, however, and his reliance on the work and ideas of female modern dance pioneers and the physical education profession have been less noted. In this sense, Shawn was lucky, for he fell in love with dance when the art was mature enough to need a man.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0180.012
Scholarly communication0.0080.007
Open science0.0010.003
Research integrity0.0040.010
Insufficient payload (model declined to judge)0.0070.002

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 head0.320
Teacher spread0.289 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations3
Published2017
Admission routes1
Has abstractyes

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