Erased Voices: Interrogating Music Audition Requirements in Higher Education
Bibliographic record
Abstract
This research interrogates the current entrance audition requirements for select faculties of music in Ontario, Canada. This article engages with a literature review for the purpose of investigating and articulating the foundations of white supremacy and Eurocentric elitism of Western classical music as the gatekeeper for entrance into schools of music. Utilizing critical policy analysis and latent content analysis on the data gathered from university websites, this research aims to address the following questions: In what ways do post-secondary faculties of music uphold Eurocentric elitism of Western classical music and maintain white supremacy? What populations do faculty of music entrance audition requirements serve and invite? Whom do these audition requirements exclude? The findings of this research highlight the issues with current entrance audition requirements and suggests further reflection on the issues found in an effort to disrupt exclusionary structures.
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 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 | 0.033 | 0.086 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.026 | 0.041 |
| Scholarly communication | 0.024 | 0.010 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".