The Participatory Creative Music Hub: Process Over Product
Bibliographic record
Abstract
A community-based project, the Participatory Creative Music Hub (the Hub) was developed by the Canadian New Music Network (CNMN) to research, create, and distribute an online resource to inspire creativity in music and sound for all. In addition to inspiring people of many backgrounds to create their own music, the process of building and sharing the Hub has helped to develop a sense of community among diverse creative practitioners across Canada. In doing so, it has raised questions about both the aesthetic and social values of music. In recent years, on an organizational level, CNMN’s focus and scope has transitioned from a primarily industry-focused network dedicated to building professional networks and opportunities to an outward-looking, knowledge- and resource-sharing network actively cultivating a more inclusive member base and connecting with other sectors. The Hub is one of the CNMN’s recent initiatives that is working to redefine the place of music in Canadian society and shift ideas around who can and does make New Music across Canada, and where, how and why people make music. In this article, we propose that the Hub also performs socially engaged practice-based research that models an expanded imaginary for creative music and sound in contemporary Canadian society.
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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 | 0.029 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.013 | 0.017 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".