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Record W2024800175 · doi:10.3390/ijerph120303120

Feasibility of Delivering a Dance Intervention for SubAcute Stroke in a Rehabilitation Hospital Setting

2015· article· en· W2024800175 on OpenAlexafffund
Marika Demers, Patricia McKinley

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2015
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsMcGill UniversityMcGill University Health CentreJewish Rehabilitation Hospital
FundersMcGill University
KeywordsDanceRehabilitationPhysical therapyIntervention (counseling)Stroke (engine)Physical medicine and rehabilitationMedicineDance therapyPsychologyNursingVisual arts

Abstract

fetched live from OpenAlex

Dance can be a promising treatment intervention used in rehabilitation for individuals with disabilities to address physical, cognitive and psychological impairments. The aim of this pilot study was to determine the feasibility of a modified dance intervention as an adjunct therapy designed for people with subacute stroke, in a rehabilitation setting. Using a descriptive qualitative study design, a biweekly 45-min dance intervention was offered to individuals with a subacute stroke followed in a rehabilitation hospital, over 4 weeks. The dance intervention followed the structure of an usual dance class, but the exercises were modified and progressed to meet each individual's needs. The dance intervention, delivered in a group format, was feasible in a rehabilitation setting. A 45-min dance class of moderate intensity was of appropriate duration and intensity for individuals with subacute stroke to avoid excessive fatigue and to deliver the appropriate level of challenge. The overall satisfaction of the participants towards the dance class, the availability of space and equipment, and the low level of risks contributed to the feasibility of a dance intervention designed for individuals in the subacute stage of post-stroke recovery.

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)0.018
metaresearch head score (Gemma)0.037
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: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.037
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.083
GPT teacher head0.425
Teacher spread0.343 · 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

Citations46
Published2015
Admission routes2
Has abstractyes

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Same venueInternational Journal of Environmental Research and Public HealthSame topicStroke Rehabilitation and RecoveryFrench-language works237,207