CanRock classroom: Two pre-service teachers’ experiences of a popular music pedagogy course in Canada
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.036 | 0.013 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".