Drumming Up Health: A Case Study of Carleton University's West African Rhythm Ensemble
Bibliographic record
Abstract
There is recent, compelling research that clearly documents the positive role that musicmaking plays in an individual's and community's well-being (Stige 2006, Thaut 2013, Turino 2008).Rhythm, in particular, has been shown to connect people with each other, reduce stress and anxiety, and promote feelings of empathy and community (Berlyne 1971, Clift & Hancox 2010, Thaut, 2013).The vibrant and energetic experience of participating in a drum and dance ensemble underlines the powerful forces at play in participatory music, and the mental, physical and social health benefits it can provide.This thesis examines the ways in which participation in the Carleton University West African Rhythm ensemble contributes to positive health and well-being for the students involved.Through email and audio interviews, and written surveys, this case study provides persuasive evidence of the value of inclusion of this style of music and dance in educational, therapeutic and community settings.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.024 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".