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Record W2673712371 · doi:10.47513/mmd.v9i2.544

Music Therapy Training Programmes in Europe: Theme and Variations. (2016). Edited by Thomas Stegemann, Elena Fitzthum, and Tonius Timmermann

2017· article· en· W2673712371 on OpenAlex
Amy Clements-Cortés

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 institutionsBaycrest HospitalUniversity of Toronto
Fundersnot available
KeywordsInternshipMusic therapyTheme (computing)Experiential learningPsychologyTraining (meteorology)PortraitPedagogyMedical educationSociologyVisual artsArtMedicineComputer sciencePsychotherapistGeography

Abstract

fetched live from OpenAlex

Paperback: 192 pages | Publisher: Verlag Publications, Germany | Language: English | ISBN-9783954901791 This book provides an overview of all 119 European music therapy training programmes as well as a detailed portrait of 10 selected music therapy training courses from various countries, reflecting different music therapy backgrounds, approaches, phases of institutional developments, etc. It gives insights into the theoretical background, admission procedures, and the structure and content of each training programme, focusing especially on clinical training and internships, musical training, experiential learning and music therapy self-experience, as well as the evaluation procedures concerning the quality of teaching. Keywords: education, training, music therapy, Europe, evaluation.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.093
GPT teacher head0.358
Teacher spread0.265 · 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