Creativity, agency, and stability: Perceptions of Canadian musicians working across the cultural domains
Bibliographic record
Abstract
This research study aims to illuminate Canadian musicians' portfolio careers across the cultural domains. Previous research has highlighted the career paths of music graduates directly after graduation, and other research has highlighted the experiences of well-known performers or pedagogues. However, little is known about music graduates who persist and establish careers in music. We interviewed twelve musicians working in a variety of Canadian cultural domains to understand their work and career paths. Their stories elucidate how artists balance income stability, artistic agency, creativity, and professional challenges to create impressive and fulfilling portfolios that enable them to use their music-based knowledge and skills in various ways. Findings from this study provide a more nuanced understanding of the scope and nature of music-related work in Canada and how artists integrate artistic and creative abilities with community needs and economic stability. These findings offer insights for emerging musicians and music graduates and have implications for educating and supporting artists who wish (or indeed need) to work across cultural domains.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".