Bibliographic record
Abstract
This case study research explores the impact of a musical performance event—the Coffee House—held bi-annually at an adolescent mental health treatment facility in Southwestern Ontario, Canada. Any client or staff member is welcomed to perform at this event, which is organized by the facility’s music therapist and framed here as an example of community music therapy. Drawing upon Turino’s (2008) ethnomusicological perspective on performance, I will argue that the Coffee House’s success within this context is due to its participatory ethos, wherein success is primarily defined by the act of participation. Here, performance takes place within an inclusive and supportive atmosphere in which participants can overcome anxiety, engage in the risk-taking of performance, and experience increased self-efficacy and confidence. This ethos also naturally affords a “levelling” of institutional relationship dynamics. Resonant with Aigen’s (2004) vision that “performances as community music therapy can forge a new type of art, one that creates meaning and invites participation” (p. 211), the Coffee House exemplifies the ways in which the values within participatory settings are indeed different and new in comparison to presentational settings that are the norm in Western 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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.021 | 0.030 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".