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Record W7009487331

Engaging Indigenous Voices in the Academy: Indigenizing Music in Canadian Universities

2021· dissertation· W7009487331 on OpenAlexfundaboutno aff

Bibliographic record

VenueTSpace · 2021
Typedissertation
Language
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Toronto
KeywordsIndigenizationIndigenousConceptualizationHigher educationAction (physics)Action research
DOInot available

Abstract

fetched live from OpenAlex

Canadian universities are under increasing pressure to address systemic exclusions of Indigenous peoples and knowledges, exclusions that have been perpetrated by residential schools, day schools, and universities. Canadian universities have, increasingly, begun to engage in Indigenization efforts; however, engagement in Indigenization efforts has been inconsistent and uneven within institutions and across the sector. Higher music education, in particular, has done little in terms of engaging in Indigenization, and this research seeks to address this gap. This research engages with six Indigenous musicians who each hold at least one university degree in music in order to hear their experiences in higher music education and to envision an Indigenized higher music education in Canadian universities. This research is, in part, a response to the Truth and Reconciliation Commission of Canada’s 94 Calls to Action (2015c), specifically Call 62, ii.: We call upon the federal, provincial, and territorial governments, in consultation and collaboration with Survivors, Aboriginal peoples, and educators, to: ii. Provide the necessary funding to post-secondary institutions to educate teachers on how to integrate Indigenous knowledge and teaching methods into classrooms (p. 331). Call to Action 62, ii provides a framework for thinking about and envisioning what higher music education—or post-secondary music programs—can do to respond to the TRC’s Calls to Action (2015c) in meaningful ways in collaboration with Indigenous peoples, communities, and Nations. This research engages with Ermine’s (2007) conceptualization of the ethical space and McCallum and Perry’s (2018) structures of indifference in order to conceptualize higher music education as structures of difference whereby Indigenous musics, musicians, knowledges, and musical practices are valued and included in ways that go well beyond Indigenous inclusion (Gaudry Lorenz, 2018). The final chapter includes a lengthy list of recommendations, informed by the participants’ stories, for all stakeholders in higher music education, including deans and senior leadership, chairs, faculty, staff, students, patrons and donors, and audience members. The academy has undergone very little structural change (Ottmann, 2013) and the magnitude of what will be required of higher music education in the work of Indigenization will necessitate visionary and courageous leadership. Keywords: music, higher music education, Indigenization, decolonization, reconciliation, post-secondary music education, university, Indigenization of the academy, Indigenization of higher music education

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.885
Threshold uncertainty score0.833

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.1040.049
Scholarly communication0.0200.007
Open science0.0050.026
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0060.000

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 head0.060
GPT teacher head0.263
Teacher spread0.203 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations0
Published2021
Admission routes2
Has abstractyes

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