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Record W4251268759 · doi:10.1386/jpme_00006_1

CanRock classroom: Two pre-service teachers’ experiences of a popular music pedagogy course in Canada

2019· article· en· W4251268759 on OpenAlexaffabout
Adam Patrick Bell, Ryan Stelter, Kathleen Ahenda, Joseph Bahhadi

Bibliographic record

VenueJournal of Popular Music Education · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEthosPedagogyUnderpinningMusic educationPsychologyService (business)Service-learningCourse (navigation)Mathematics educationSociologyEngineeringPolitical science

Abstract

fetched live from OpenAlex

Research on popular music pedagogy tends to centre on teaching and learning practices related to school-aged students; less research has focused on the training of pre-service teachers. We present the perspectives of two pre-service teachers on their experiences taking the first iteration of a popular music pedagogy course at a university in Canada as part of their music education studies. The examination we present is limited to one site and two pre-service teachers’ perspectives, but focuses on some important themes including group dynamics, songwriting, integrating technology and learning popular music instruments. We begin by surveying some recent related literature on popular music pedagogy before outlining our purpose and method. Then, we detail the underpinning ‘informal learning’ ethos of the course and provide a course description. Finally, we present our findings on the two pre-service teachers’ experiences with the course and conclude with a brief discussion that contextualizes these results with related literature.

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 score0.299
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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.038
GPT teacher head0.284
Teacher spread0.247 · 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

Citations6
Published2019
Admission routes2
Has abstractyes

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