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Record W7132956281

Toward Increased Inclusivity: Women’s Solo Piano Repertoire in Royal Conservatory of Music Curricula

2023· dissertation· W7132956281 on OpenAlexaboutno aff
Maggie Morrison Makos

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
Fundersnot available
KeywordsPianoMusic educationRepertoireCurriculumSyllabusNarrativeMusicologyMusic historyMusic
DOInot available

Abstract

fetched live from OpenAlex

In 1886, The Royal Conservatory of Music established its presence in Toronto where it continues to maintain significance as a Canadian institution for Western classical music study. The primary focus of this research is to understand how women’s solo piano music has been included in Canada’s most prominent music conservatory curricula by tracking how and when women’s music appeared in editions of the syllabi. Ultimately, this research intends to better understand how classical music repertoire has shifted from its patriarchal core through an intersectional feminist lens. This study bridges music education and music performance literature to better inform scholars and musicians of the impact surrounding historically underrepresented groups and its effect on the canon. With the societal shifts that took place since 2015—namely the #metoo movement, pandemic, and racial reckoning—many education systems were confronted with identity-related bias. Using the RCM as my case study, I discovered an increase of inclusive patterns regarding women composers in the last two editions of piano syllabi (2015, 2022). I gathered primary data regarding new inclusions, ultimately resulting in a catalogue of 306 newly included solo piano works by women composers (Preparatory A to Licentiate Diploma) in the 2022 piano syllabus. Each new piece of repertoire includes information that outlines composer name, date of birth and death (where applicable), composition title and date, publisher(s), geographical points of interest, and a narrative link discussing topics from the literature review. In addition, a numerical and thematic analysis regarding women composers of the last two editions of RCM piano syllabi (2015, 2022) was conducted. Themes that emerged include politics of place, the focus on the RCM examination system, level-based inclusive patterns, and women composers included in the 2022 RCM piano syllabus. No research on this 2022 RCM piano syllabus—the most recent edition at the time of this writing—exists. This dissertation fills the gap and provide teachers, students, and performers with a catalogue of the 306 newly included pieces of piano music by women in the 2022 syllabus. This tool highlights newly included repertoire and composers and provides means to avoid becoming overshadowed by the more familiar repertoire of previous syllabi, which, as the study shows, has historically been comprised of music by men. The significance of this study informs our understanding of the historical patriarchy of Western classical music, confronts gender bias in the evaluation of composers, and ultimately highlights the RCM as an institution toward increasing inclusive practices. The goal of this research is to amplify women’s music for solo piano, ultimately resulting in more interest and performance of this repertoire.

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)0.004
metaresearch head score (Gemma)0.011
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 score0.464
Threshold uncertainty score0.922

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0110.009
Scholarly communication0.0070.003
Open science0.0010.007
Research integrity0.0010.001
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 head0.059
GPT teacher head0.298
Teacher spread0.238 · 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
Published2023
Admission routes1
Has abstractyes

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