MétaCan
Menu
Back to cohort
Record W2770879389 · doi:10.47513/mmd.v9i4.508

Comfort, Connection and Music: Experiences of Music Therapy and Inter-Active Listening on a Palliative Care Unit

2017· article· en· W2770879389 on OpenAlex
SarahRose Black, Gary Rodin, Camilla Zimmermann

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 · 2017
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsPrincess Margaret Cancer CentreKensington HealthUniversity Health Network
Fundersnot available
KeywordsMusic therapyPalliative careActive listeningPsychosocialIntervention (counseling)PsychologyUnit (ring theory)PsychotherapistNursingMedicine

Abstract

fetched live from OpenAlex

Music therapy in palliative care aims to provide psychosocial support, assistance with pain and symptom management and opportunities for life review and legacy work. Although there have been a variety of studies conducted on the effects of music therapy in palliative care facilities, there is a gap in research examining the experience and feasibility of music therapy on acute palliative care units within cancer care settings. This qualitative study explored the lived experience of inter-active listening (IAL), an individualized music therapy in which the therapist plays music or sings while the patient engages through listening, for nine inpatients on a palliative care unit. The study found that a receptive music therapy referred to as IAL was associated, in cancer patients in an acute palliative care unit, with increased emotional and spiritual well-being and a greater sense of connection to self and others. Further research into specific effects of various music therapy intervention styles is warranted.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.320
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.178
GPT teacher head0.410
Teacher spread0.231 · 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