Bibliographic record
Abstract
First Nations, Inuit, and Métis music in Canada is dynamic and diverse, reflecting continuities with earlier traditions and innovative approaches to creating new musical sounds. Aboriginal Music in Contemporary Canada narrates a story of resistance and renewal, struggle and success, as indigenous musicians in Canada negotiate who they are and who they want to be. Comprised of essays, interviews, and personal reflections by Aboriginal and non-Aboriginal musicians and scholars alike, the collection highlights themes of innovation, teaching and transmission, and cultural interaction. Individual chapters discuss musical genres ranging from popular styles including country and pop to nation-specific and intertribal practices such as powwows, as well as hybrid performances that incorporate music with theatre and dance. As a whole, this collection demonstrates how music is a powerful tool for articulating the social challenges faced by Aboriginal communities and an effective way to affirm indigenous strength and pride. Juxtaposing scholarly study with artistic practice, Aboriginal Music in Contemporary Canada celebrates and critically engages Canada's vibrant Aboriginal music scene. Contributors include Véronique Audet (Université de Montreal), Columpa C. Bobb (Tsleil Waututh and Nlaka'pamux, Manitoba Theatre for Young People), Sadie Buck (Haudenosaunee), Annette Chrétien (Métis), Marie Clements (Métis/Dene), Walter Denny Jr. (Mi'kmaw), Gabriel Desrosiers (Ojibwa, University of Minnesota, Morris), Beverley Diamond (Memorial University), Jimmy Dick (Cree), Byron Dueck (Royal Northern College of Music), Klisala Harrison (University of Helsinki), Donna Lariviere (Algonquin), Charity Marsh (University of Regina), Sophie Merasty (Dene and Cree), Garry Oker (Dane-zaa), Marcia Ostashewski (Cape Breton University), Mary Piercey (Memorial University), Amber Ridington (Memorial University), Dylan Robinson (Stó:lo, University of Toronto), Christopher Scales (Michigan State University), Gilles Sioui (Wendat), Gordon E. Smith (Queen's University), Beverly Souliere (Algonquin), Janice Esther Tulk (Memorial University), Florent Vollant (Innu) and Russell Wallace (Lil'wat).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.042 | 0.009 |
| Scholarly communication | 0.010 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".