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Record W4380450536 · doi:10.1386/ijcm_00075_1

Music, health and well-being in IJCM articles: An integrative review

2023· article· en· W4380450536 on OpenAlexaff
Lloyd McArton, Roger Mantie

Bibliographic record

VenueInternational Journal of Community Music · 2023
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsThe Scarborough HospitalUniversity of TorontoUniversity of Lethbridge
Fundersnot available
KeywordsOperationalizationContextualizationWell-beingPsychologyEpistemologyComputer science

Abstract

fetched live from OpenAlex

The purpose of this study was to assess the ways health and well-being-related terms and concepts ( health, well-being, quality of life, wellness ) appear in International Journal of Community Music ( IJCM ) articles. The research questions were: (1) how are health and well-being concepts defined or expressed in IJCM articles? (2) What are the central themes or trends in the use of health and well-being terms in IJCM articles? And (3) what are the implications of the use of health and well-being terms for the practice and research of community music? Utilizing an integrative review methodology and supported by database software Airtable, this study examined the application, discussion, operationalization, and contextualization of music, health and wellness terms and concepts as they appear in IJCM to determine the degree of conceptual coherence on health and well-being related terms. Despite the historical and growing interest in connections between music, health and wellness among community music researchers, analysis revealed a lack of coherence in the use of health-related terms and concepts. Further, health and well-being are rarely operationalized in IJCM articles. As a result, findings from studies are not comparable and it is difficult for the knowledge base to advance.

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 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)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.111
GPT teacher head0.439
Teacher spread0.328 · 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 teacher head, not a consensus.

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

Citations5
Published2023
Admission routes1
Has abstractyes

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