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Record W2972243591 · doi:10.1080/13528165.2019.1581965

Physical and Mental Demands Experienced by Ageing Dancers

2019· article· en· W2972243591 on OpenAlex
Pil Hansen, Sarah Kenny

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePerformance Research · 2019
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsDancePsychologyPraxisCognitionAestheticsSet (abstract data type)SociologyVisual artsGerontologyArtMedicineEpistemologyPsychiatryComputer science

Abstract

fetched live from OpenAlex

Professional, contemporary dancers typically transition into another role or industry when their bodies begin to show signs of ageing in their mid-30s. In ‘Physical and Mental Demands Experienced by Ageing Dancers: Strategies and values’, the dance dramaturg and scholar Pil Hansen and the dance scientist Sarah J. Kenny take a close look at how dancers who continue to dance past this point and into their 60s, experience and meet the demands of professional dance praxis. Through a qualitative pilot study with three ageing Canadian dancers, Hansen and Kenny identify common demanding factors and strategies that these ageing dancers have developed to address them. When discussed in light of related studies, results indicate that interactions between a set of material, discursive and physical factors need to be addressed to help dancers build long-life careers. Findings also suggest the possibility that advanced cognitive and artistic strategies may provide essential support for the mature dancer’s physical practice and expressivity while countering the cognitive decline otherwise caused by ageing. It will require a multi-disciplinary research effort, involving a larger group of participants, to further understand the perceived demands and strategies utilized by aging dancers.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score1.000

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)0.0010.001

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 head0.045
GPT teacher head0.400
Teacher spread0.355 · 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