TRU Kamloops Interior Summer School of Music Community Engagement Partnership Report to Kamloops Music Collective
Bibliographic record
Abstract
This action research is a collaborative effort between Thompson Rivers University (TRU) and the Kamloops Music Collective (KMC), a local non-profit organization, who develops and delivers the Kamloops Summer School of Music Program (KISSM). Other noteworthy KMC programs include Whole Note and Band Together. Whole Note is a comprehensive program that offers students of low-income families the opportunity to engage with music by providing music lessons, mentorship and additional performance opportunities. Band Together is a successful initiative that collects gently used musical instruments for students who wish to pursue music by creating an instrument lending library for children within the community.\nOur goal is to investigate the benefits of musical arts education for children and youth, to better position music programming in the community and increase opportunities for music making. Children’s stories and feedback are important to help us better understand participant experiences and bring to light the many joys of music. In keeping with previous research findings, results show that students have benefited from this program in various ways, including the following qualities: discipline, teamwork, co-ordination, development of skills, pride, lifetime skills, accomplishment, cooperation, self-confidence, sense of belonging, responsibility, self-expression, creativity, performance, companionship, building character and personality, improving self-esteem, social development and enjoyment. While this research deals with the context of a unique music education program within the interior of British Columbia the findings could easily be extrapolated to fine arts education within other school districts across Canada. It provides a window into the lived experiences of students. Moreover, this study provides marginalized students with a voice by drawing on their personal lived experiences.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.083 | 0.008 |
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".