A Musical Journey: Students’ Reflections on the Compositional Process
Bibliographic record
Abstract
The New Sounds of Learning: Composing music for young musicians is a multi-site, multi-year research project partnered with the Canadian Music Centre and the Ottawa Catholic School Board. It seeks to obtain an in-depth understanding of the parameters of writing repertoire for young musicians. Consequently, it examines the conceptualizing, writing, and refining of new string and wind repertoire in collaboration with composers, teachers, and students. Students recorded their compositional experiences in a journal. Data from these journals were examined through a pragmatic lens, revealing the following themes: Conceptualization Stage (Interest, Nervousness, Comfort); Writing Stage (First Draft, Feedback); and Refining Stage (Rehearsals, Growth). The findings will be of potential interest to composers, school music teachers, and post-secondary music educators.
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 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 | 0.009 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.011 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".