MétaCan
Menu
Back to cohort
Record W4307961837 · doi:10.47513/mmd.v14i4.849

Group singing on social prescription: A scoping review

2022· review· en· W4307961837 on OpenAlex
Elizabeth Helitzer, Amy Clements-Cortés, Hilary Moss

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.

Bibliographic record

VenueMusic and Medicine · 2022
Typereview
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSingingMedical prescriptionPublic relationsHealth careMedical educationStandardizationPsychologyNursingMedicinePolitical scienceManagement

Abstract

fetched live from OpenAlex

The aim of this international scoping review was to assess the evidence of group singing as a form of social prescription. While efforts have grown over the last two decades to catalogue and evaluate the health benefits of arts and cultural activities as part of social prescribing, there has been limited exploration into group singing on social prescription, specifically. Given the growing body of research supporting the health and wellbeing gains of both group singing and social prescribing, this first scoping review is needed and timely. Published evidence is very limited at the moment, and only nine studies met the eligibility requirements. Identified barriers to wider integration of singing on prescription included lack of formalization of the social prescribing process, challenges solidifying buy-in from general practitioners and other healthcare professionals, difficulties sustaining funding, and shifts to organizational structure resulting in staff changeover and loss of institutional knowledge. Recommendations for future research, wider implementation of singing on social prescription and standardization of evaluation methods are included.

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)0.000
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: Review · Consensus signal: Review
Teacher disagreement score0.837
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.000

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 head0.338
GPT teacher head0.406
Teacher spread0.068 · 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