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Record W2125991694 · doi:10.15845/voices.v1i1.811

Profile of Community Music Therapists in North America: A Survey

2015· article· en· W2125991694 on OpenAlexaffabout
Sandra L. Curtis

Bibliographic record

VenueVoices A World Forum for Music Therapy · 2015
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsConcordia University
Fundersnot available
KeywordsMusic therapyPsychologyPerceptionStigma (botany)Qualitative researchMedical educationSociologyMedicineSocial sciencePsychiatry

Abstract

fetched live from OpenAlex

This study surveyed music therapists (682 respondents from 1,890 survey recipients) to examine their experiences in terms of reported perceptions of their situations, their practices, their approaches, and their personal, work, and family concerns. A first report from this survey (Curtis, 2013) looked at the experiences of present-day music therapists in Canada and the United States. This follow-up report examines the experiences of those survey respondents who self-identify as community music therapists (103 of the 682 survey respondents). Of those respondents, 13.6% were men and 86.4% were women. Canadians accounted for 18.4% and respondents from the US accounted for 81.6%. From among the entire 682 respondents, significantly more Canadians (55.4%) self-identified as community music therapists in comparison with their US counterparts (15.3%; p<.05). Quantitative and qualitative analyses provided information concerning Canadian and US Community Music Therapy respondents in terms of their: demographic information; education and work situations; personal, family, and work concerns; perceptions of discrimination; and theoretical orientations. Emerged themes from the qualitative analysis of respondents’ thoughts on Community Music Therapy included: firm identification; identification with a caveat; community building/belonging; drawing from Community Music Therapy principles; formal track record; reducing stigma; and working with groups. A need for future research (e.g., surveys, interviews, auto-ethnographies, etc.) into the profiles of community music therapists practicing in other parts of the world was highlighted.

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)0.002
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 score0.430
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.165
GPT teacher head0.369
Teacher spread0.204 · 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

Citations6
Published2015
Admission routes2
Has abstractyes

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