National Survey on Music Practices in Canada
Bibliographic record
Abstract
The COVID-19 pandemic significantly impacted musical practices in Canada and had a major effect on the lives of musicians. The aim of this study was to document the profile of Canadian musicians aged 14 and over who participated in a national survey on the effects of musical practice on well-being, mental health, and social support during the first half of 2022 (Barbeau et al., 2024). It also examined their musical development, access to school-based music education, musical habits, and how their engagement with music evolved during the pandemic. A total of 1,619 Canadian musicians completed the survey, which revealed a fairly diverse demographic profile, though slightly skewed toward younger generations, individuals identifying as female, living in large urban centers, and of predominantly European descent. The vast majority had access to music in school. Most respondents reported practicing music several times a week or daily, and in various forms (such as solo or ensemble playing). These types of musical engagement evolved in response to pandemic-related restrictions. This study offers a snapshot of the Canadian musical landscape as it stood in 2022 and highlights the richness and diversity of musical backgrounds and experiences across the country.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".