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Record W4409248909 · doi:10.1123/apaq.2024-0116

“We’re All Here to Be Dancers Together”: Perspectives on Facilitating Dance Classes for Individuals With Parkinson’s

2025· article· en· W4409248909 on OpenAlexaff
Jenna Magrath, Sarah Kenny, Meghan S. Ingstrup, Lindsay Morrison, Vanessa Paglione, Meghan H. McDonough, Cari Din

Bibliographic record

VenueAdapted Physical Activity Quarterly · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDancePsychologyFeelingPerceptionSocial psychologyVisual arts

Abstract

fetched live from OpenAlex

Parkinson's is a progressive neurological disorder impacting physical, cognitive, emotional, and sensory functions. Dance is a form of physical activity that can offer social, psychological, and physical benefits and enhance quality of life for individuals with Parkinson's. This study explored program facilitators' perceptions and experiences facilitating a community dance class for individuals with Parkinson's through the lens of physical literacy. Six program facilitators (four instructors, one volunteer, and one musical accompanist) of a weekly community dance class participated in semistructured interviews. Data were analyzed using reflexive thematic analysis, generating three themes: (a) Dance as tuning into one's self: Enriching the body, mind, and spirit; (b) Everybody can dance: Feeling successful and fostering confidence; and (c) Looking forward to Tuesdays: Promoting connection, belonging, and community. This study provides insight into the teaching practices, as well as the design and facilitation of community dance classes for individuals with Parkinson's.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
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 communication0.0000.001
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 head0.057
GPT teacher head0.296
Teacher spread0.239 · 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.

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

Citations1
Published2025
Admission routes1
Has abstractyes

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