Composing Together:The Development of Musical Ideas with Students and Teachers
Bibliographic record
Abstract
Contemporary Canadian pieces are performed and studied infrequently in school music programs due to their complex nature. The Ottawa-Carleton District School Board and the Canadian Music Centre commissioned 18 composers to compose a piece of educational music during a multi-year, multi-site research project entitled Making Music: Composing with Young Musicians. The musical pieces were written in collaboration with teachers and students. The following research question was addressed: How can musical ideas be conceptualized and developed with students and teachers? In their composition reports, the composers emphasized the importance of listening to students. Listening helped the composers understand the types of music students were familiar with, and to discern students’ instrumental abilities. Musical ideas were developed when students worked individually and in groups. Furthermore, composerteacher feedback, as well as teacher facilitation, facilitated a healthy exchange of musical ideas. These findings may be of interest to music teachers, post-secondary music educators, composers, and Canadian music publishers.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.011 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".