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Record W4385263923 · doi:10.1017/s0714980823000260

Perceived Quality of Online Music Therapy Sessions by Older Adults Aging at Home

2023· article· en· W4385263923 on OpenAlexaff
Chrissy Pearson, Rosalind Sham, Sandra Gardner, Sarah F. Klapman, Aviva Altschuler

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2023
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsBaycrest Hospital
Fundersnot available
KeywordsPsychologyQuality (philosophy)Applied psychologyQuality of life (healthcare)Medical educationMedicinePsychotherapist

Abstract

fetched live from OpenAlex

Online delivery is new to the field of music therapy (MT). This research investigated older adults' perceived quality of MT online by certified music therapists. In this feasibility study, applying both process and outcome assessments, nine older adults volunteered to participate. Zoom was used, and a virtual music therapy (VMT) kit was developed as a resource. Surveys and observed technical difficulties revealed that perceived quality varied slightly by level of technical difficulty experienced; however, overall mean perceived quality was 7.2 out of 9. Post-study interviews revealed three main themes: (a) individual experiences with VMT, (b) individuals' suggestions for further development of VMT sessions, and (c) individuals' personal outcomes from VMT sessions. Participants reported overall positive experiences with VMT. Despite a slight decline in perceived quality when more technical difficulties were present, each participant reported a desire for more sessions, and they would recommend it to others.

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)0.003
metaresearch head score (Gemma)0.014
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
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 head0.039
GPT teacher head0.313
Teacher spread0.274 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissement→Same topicMusic Therapy and Health→French-language works237,207→