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Record W4400653258 · doi:10.56367/oag-043-11342

Improving the wellbeing of older adults through community-based music and movement programs

2024· article· en· W4400653258 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOpen Access Government · 2024
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsMovement (music)PsychologyGerontologyMusic therapyPhysical medicine and rehabilitationApplied psychologyAestheticsMedicineArtPsychotherapist

Abstract

fetched live from OpenAlex

Improving the wellbeing of older adults through community-based music and movement programs Find out here about a geriatric psychiatry program at the Music and Mental Health Research Clinic that improves the wellbeing of older adults. How do music and movement affect the mental wellbeing of older adults? The Music and Mental Health Research Clinic at the University of Ottawa Institute of Mental Health Research at the Royal will explore this question with a new geriatric psychiatry program that aims to design and carry on community-based music and movement (COMM) interventions with older adults (55+). The program will examine the benefits of these interventions on the psycho-social conditions of older adults with dementia or experiencing mental illness, including, among others, depression and anxiety. The learnings will support the integration of evidence-informed music interventions into older adults’ social and healthcare.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.084
GPT teacher head0.397
Teacher spread0.313 · 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