Listen to the tastemakers: Building an urban arts high school music curriculum
Bibliographic record
Abstract
In partnership with academics from McGill University and community arts partners, a high school in Montreal faced with significant challenges became an “urban arts school,” offering music and visual art programs centered in youth culture, as well as integrating arts into several academic subjects. The initiative was inspired by the school’s popular extra-curricular activities, which included a Hip Hop literacy club that ran beat making and rap writing workshops. Considering the popularity of these activities, the school decided to offer a music education program focused on musical skills through real-life music making activities that resemble those employed by popular musicians. This article chronicles the development of this music education program from the perspective of the music teacher, including the experience of continual adaptation to the needs and interests of students. The program is one of the first to combine Musical Futures, an approach to music education that promotes the combination of non-formal music teaching, informal music learning, and students’ interest in a formal school setting, with Hip Hop Based Music Education, predominantly located in community settings. This case study showed that students benefited from having an open-minded and committed educator with experience in popular musics. The co-teaching by professional Hip Hop artists also supported student progress and engagement by adding authenticity to the music making process. Furthermore, the alignment of the music program with the general school ethos contributed to its success. The paper also highlights the need to balance the development of musical skills with student engagement, and the informal music learning philosophy of Musical Futures with direct instruction associated with formal school settings.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".