The Art Songs of Violet Archer: A Performer's Analysis and Perspective on Repertoire for the Mezzo-soprano Voice
Bibliographic record
Abstract
This thesis offers an in-depth look at the art song repertoire of Violet Archer by focusing on her compositions for the mezzo-soprano voice and piano. Factors that influenced this distinctive body of music and recognizes the important role that Violet Archer played as a composer in Canada during the twentieth century will be considered. My own introduction to Archer came during my undergraduate studies while taking a course on Canadian music, however until recently I had heard very little of her works performed, programed, or studied, but was drawn to her story of resilience and perseverance to pave her own path as a prominent composer and educator.\n\tThe goal of this research was to explore selected works from this repertoire to look at its suitability for singers at differing levels, taking into consideration musical elements such as harmony, melody, text, and rhythmic setting. This necessitated a literature review to determine how vocal compositions are assessed within the fields of voice pedagogy and performance, and to examine resources that looked at Violet Archer’s music from a compositional standpoint. It also merited interviews conducted with individuals who had worked with Archer directly on some of her vocal compositions. Each song analyzed for this study was assessed according to three levels of difficulty (minimal, moderate, and extensive) resulting in a numeric amount which corresponded to the piece being classified as elementary, intermediate, or advanced. The literature review helped to inform my approach to this repertoire selection and to establish a grid with which to classify these works in order to provide a context for analyses and further discussion on each piece. Repertoire selected included songs and song cycles that have very little or no attention given to them in prior scholarly articles and research. My hope is that a detailed exploration of this selected repertoire will encourage singers and teachers alike to engage in the full breadth of what Violet Archer has to offer us as performers, teachers, and lovers of music.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 teacher head, 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".