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Record W4408416782 · doi:10.56883/aijmt.2025.593

Music-centred psychotherapy for adults with mood and anxiety disorders: A programme evaluation

2025· article· en· W4408416782 on OpenAlexaffabout
Elizabeth Mitchell

Bibliographic record

VenueApproaches An Interdisciplinary Journal of Music Therapy · 2025
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsAnxietyPsychotherapistMoodPsychologyMood disordersMusic therapyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

This paper outlines the creation and programme evaluation of a music therapy group for adults within an inpatient mood and anxiety disorder treatment programme in Southwestern Ontario, Canada. The author first discusses the process involved in programme development and facilitation of a four-session closed group framework of resource-oriented and music-centred psychotherapy. The author then presents the results from a programme evaluation that included 154 patients, elucidating lived experiences from the music therapy group. Quantitative results trace patients’ perceptions of music therapy’s impact within the domains of mood, anxiety, interpersonal connections, expression, and musical resource development. Qualitative themes explore patients’ experiences in music therapy in the areas of lightness and depth, interpersonal connections, relationships to music, and trying something new. Patients’ lived experiences and perceptions of the group’s impact validate that music therapy can invite in-depth therapeutic process while also developing and celebrating patients’ resourceful use of music in their everyday lives.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.855
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.105
GPT teacher head0.371
Teacher spread0.266 · 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 designOther design
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

Citations0
Published2025
Admission routes2
Has abstractyes

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