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Record W586290771 · doi:10.5860/choice.50-0186

Aboriginal music in contemporary Canada: echoes and exchanges

2012· article· en· W586290771 on OpenAlexaboutno aff

Bibliographic record

VenueChoice Reviews Online · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryArtLiterature

Abstract

fetched live from OpenAlex

First Nations, Inuit, and Metis 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 Veronique Audet (Universite de Montreal), Columpa C. Bobb (Tsleil Waututh and Nlaka'pamux, Manitoba Theatre for Young People), Sadie Buck (Haudenosaunee), Annette Chretien (Metis), Marie Clements (Metis/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 (Sto: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).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.453
Threshold uncertainty score0.307

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.087
GPT teacher head0.342
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations14
Published2012
Admission routes1
Has abstractyes

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