The musical influence of continental Europe in art song repertoire of Great Britain, the United States, and Canada
Bibliographic record
Abstract
This document is the result of the research done in preparation for the two thesis-recitals given in partial fulfillment of the requirements for the degree of Master of Music Performance. The recitals and the document are devoted to selected art song composers from Great Britain, the United States, and Canada. The purpose of the research was to obtain a historical and stylistic understanding of the repertoire to be performed in the thesis-recitals. The methodology used for the elaboration of this document included review of relevant literature, score analysis, listening to recordings by major performers, and the preparation for performance itself. The first chapter is focused on the fact that Great Britain’s most distinguished composers have been influenced by musical practices from the European continent. John Dowland, Henry Purcell, Benjamin Britten, and the composers from the so-called British Musical Renaissance are taken into account. The second chapter is dedicated to three major figures in art song composition in the United States: Charles Griffes, Samuel Barber, and Ned Rorem. The chapter highlights the fact that these composers share two important features: their styles have roots in musical practices of continental Europe and today they are considered among the most truly American voices. The third chapter focuses on Jean Coulthard, Violet Archer, and R. Murray Schafer as examples of how Canadian composers have used the European artistic heritage in the process of creating their own styles. The document concludes that, in addition to creativity and personal artistic values, two other factors seem to have been important in allowing this group of composers to become models of the national voice of their own countries: a strong awareness of musical and literary heritage and an open acceptance of foreign influences.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".