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Record W2138657426 · doi:10.1093/jmt/thv006

A Survey Study of Pre-Professionals' Understanding of the Canadian Music Therapy Internship Experience

2015· article· en· W2138657426 on OpenAlexafffundabout
Amy Clements-Cortés

Bibliographic record

VenueJournal of Music Therapy · 2015
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsInternshipMedical educationPsychologyLikert scaleCompetence (human resources)Music therapyProfessional developmentPedagogyMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: There is limited research to date on the clinical music therapy internship experience from the perspective of the pre-professional. Further study is required to advance this significant stage in clinician development, as it is an intense period when pre-professionals apply and integrate theoretical knowledge about music therapy into their clinical practice. OBJECTIVE: This study aimed to: (1) assess the skills, competence, comfort, concerns, issues, challenges, and anxieties of Canadian undergraduate students at two stages in the internship process (pre- and post-internship); and (2) examine whether these perceptions are consistent with published research on internship. METHODS: Thirty-five pre-professionals, from a pool of 50 eligible respondents (70% response rate), completed a 57-question survey using a five-point Likert scale ranking pre- and post-internship experience and participated in an interview post-study. RESULTS: Survey results indicate a statistically significant increase in pre-professionals' perceived clinical, music, and personal skill development from pre- to post-internship. Areas of desired skill development included counseling, functional guitar, and clinical improvisation. CONCLUSIONS: Recommendations for educators and supervisors are provided with respect to areas of focus in undergraduate education and during clinical internship.

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)0.004
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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)0.0020.000

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 head0.448
GPT teacher head0.440
Teacher spread0.008 · 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

Citations11
Published2015
Admission routes3
Has abstractyes

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