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Record W2990372238 · doi:10.56883/aijmt.2019.211

‘Self as instrument’ – Safe and effective use of self in music psychotherapy: Canadian music therapists’ perceptions

2018· article· en· W2990372238 on OpenAlexaffabout
Heidi Ahonen

Bibliographic record

VenueApproaches An Interdisciplinary Journal of Music Therapy · 2018
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsPsychotherapistPerceptionPsychologyMusic therapyClinical psychology

Abstract

fetched live from OpenAlex

This article introduces the results of a pilot survey conducted with accredited Canadian music therapists investigating their perceptions of personal psychotherapy and the concept of Safe and Effective Use of Self (SEUS) in the music therapy relationship. An emailed survey questionnaire covered both closed and open-ended questions on SEUS-related topics. The open-ended questions were analysed using the qualitative data analysis software Nvivo. Simple percentages were calculated to analyse the results of the closed-ended questions. The results suggest that music therapists engaging in psychotherapy seem to work with similar client populations, use similar theoretical approaches and techniques, and hold very similar training to other music therapists. These music therapists appear to have an excellent sense of SEUS, whether or not they practice psychotherapy. Conversely, their training on both SEUS and verbal counselling skills is often seen as inadequate. It is suggested that music therapists who practice psychotherapy have completed their own psychotherapy and have ongoing music psychotherapy supervision. The results can be utilised as a discussion stimulus for the topic of SEUS in music therapy.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
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
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.092
GPT teacher head0.348
Teacher spread0.256 · 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 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

Citations3
Published2018
Admission routes2
Has abstractyes

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