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Record W4327741242 · doi:10.1080/01924788.2023.2191097

Movement, Music, and Connection: Older Adults’ Experiences of Community Dance

2023· article· en· W4327741242 on OpenAlexaff
Vanessa Paglione, Sarah Kenny, Meghan H. McDonough, Cari Din, Krista White

Bibliographic record

VenueActivities Adaptation & Aging · 2023
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDanceMovement (music)Connection (principal bundle)Poison controlInjury preventionSuicide preventionHuman factors and ergonomicsPsychologyPhysical medicine and rehabilitationVisual artsCommunicationMedical emergencyMedicineArtEngineeringAesthetics

Abstract

fetched live from OpenAlex

This research explored how participation in community dance supports older adults’ aging journey through a theoretical framework of successful aging, physical literacy, and embodiment. Older adults (aged 71–87 years) with experience participating in a community dance class completed semi-structured interviews that were analyzed using reflexive thematic analysis. Six themes were generated: (1) laughter, lightness, and feeling youthful; (2) the body comes back to life; (3) confidence can shine; (4) carried away by the music; (5) an opportunity to belong; and (6) contributing to the neighborhood spirit. Our findings suggest that dancing offers multidimensional benefits which can contribute to healthy, active aging.

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)0.001
metaresearch head score (Gemma)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0030.003
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.054
GPT teacher head0.296
Teacher spread0.241 · 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

Citations12
Published2023
Admission routes1
Has abstractyes

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