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Record W2247306992 · doi:10.26443/ijwpc.v1i1.34

Music Therapy in Whole Person Care at the End of Life

2014· article· en· W2247306992 on OpenAlexaffvenue
Deborah Salmon

Bibliographic record

VenueInternational Journal of Whole Person Care · 2014
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMusic therapyPersonhoodMeaning (existential)SpiritualityPsychotherapistPsychologyAestheticsPalliative careCreativityMedicineNursingEpistemologySocial psychologyAlternative medicineArtPhilosophy

Abstract

fetched live from OpenAlex

Whole Person Care aims to be deeply present to the person in the patient; acknowledging the integration of physical, psychosocial and spiritual facets of human experience, and creating a space in which healing, or a greater sense of wholeness, may occur. Music offers a potent tool in this endeavor. With its inherent capacity to engage body, mind and spirit, music can stimulate or calm, transport us to other times and places, reach our innermost emotions, and connect us to ourselves, our loved ones and our spirituality. In palliative care, music therapy joins with whole person care to meet patients and their loved ones as fully as possible.Concepts central to whole person care will be presented and illustrated through the lens of clinical music therapy. For example, exploring how the skilful use of music addresses many dimensions of personhood will highlight Cassell’s concept of personhood. Demonstrating the ability of a significant melody to access and externalize personal meaning will integrate ideas from Frankl on meaning. Observing how relationship and creativity function as healing connections will draw from Mount, as will the idea of helping one move on a continuum from suffering to healing (Mount, Hutchinson, Kearney). The role of the health care professional as a ‘vulnerable-enough’ caregiver (Papadatou) or ‘wounded healer’ (Kearney) will also be touched upon. Throughout the presentation, poignant images, stories and video clips of patients engaging in music therapy at the end of life will serve to both enliven the didactic material and demonstrate how music therapy can create a space in which experiences of greater integrity may occur.

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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score0.998

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.049
GPT teacher head0.339
Teacher spread0.289 · 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

Citations1
Published2014
Admission routes2
Has abstractyes

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