MétaCan
Menu
Back to cohort
Record W2288603793 · doi:10.3928/02793695-20160219-05

Dance for Individuals With Dementia

2016· article· en· W2288603793 on OpenAlexaboutno aff
Jennifer Lapum, Rachel J. Bar

Bibliographic record

VenueJournal of Psychosocial Nursing and Mental Health Services · 2016
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsDanceDementiaPsychologyPsychosocialNarrativeDialogical selfMental healthPopulationGerontologyContemporary danceSociologyPsychotherapistMedicineVisual artsSocial psychologyArtDisease

Abstract

fetched live from OpenAlex

The movement and music associated with dance plays an important role in many individuals' lives and can become imprinted upon the body and mind. Dance is thus closely associated with memory because of these deep connections. Without conscious thought, dance has the potential to be initiated as individuals age. In the current article, the authors share narrative reflections about their experiences with, and the potential of, dance as an intervention for aging populations diagnosed with dementia-related diseases. They draw upon their experiences in working with the aging population and a dance program currently being developed by Canada's National Ballet School and Baycrest Health Sciences for individuals with dementia-related diseases in long-term care. The current article is structured as dialogue between the authors because it mimics dance as a dialogical encounter between movement and music, and/or between individuals.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.002
Scholarly communication0.0020.002
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.016
GPT teacher head0.356
Teacher spread0.340 · 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 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

Citations19
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Psychosocial Nursing and Mental Health ServicesSame topicDiversity and Impact of DanceFrench-language works237,207