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Record W4392569953 · doi:10.59451/jami.87535

Facing Death Through Music: Palliative Patients' Experience of Guided Imagery and Music

2023· article· en· W4392569953 on OpenAlexafffund
Sheila Killoran

Bibliographic record

VenueJournal of the Association for Music and Imagery · 2023
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsGrey Nuns Community Hospital
FundersMcGill University Health CentreMcGill University
KeywordsGuided imageryMusic therapyPsychologyPsychotherapistPsychiatryAnxiety

Abstract

fetched live from OpenAlex

Music and imagery techniques can support the management of both the physical and psychosocial-spiritual needs of persons living with a life-limiting illness. The Bonny Method of Guided Imagery and Music (GIM) is a promising yet under-researched music psychotherapy method within the palliative care setting. In this study, six palliative inpatients received GIM sessions and participated in phenomenological interviews about their experience with the method. The resulting themes included (a) deep relaxation, (b) facing death, (c) messages of support, (d) diverse emotions, (e) relationship of self to past and present, (f) music as a guide, and (g) empowerment. Study participants benefited from using this method to help them cope with distressing symptoms and for emotional and spiritual processing at end of life. Applications for symptom management, clinical considerations, and future research directions are discussed.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
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 head0.091
GPT teacher head0.364
Teacher spread0.273 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2023
Admission routes2
Has abstractyes

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