Approaching a Rhetorical Performance of Late 18th Century Keyboard Music from the Methods of john Walker
Bibliographic record
Abstract
Student Number3105008Supervisor(s)Anna Scott, Jed WentzTitleApproaching a Rhetorical Performance of Late 18th Century Keyboard Music from the Methods of john WalkerResearch QuestionHow can we apply declamatory principles from late 18th century English treatises to historical performance of late 18th century solo keyboard music?SummaryThere is no doubt that the art of classical rhetoric played an important role in the conception and performance of music in the 18th century. In order to better understand how to perform rhetorically in an historically informed manner, an understanding of declamation as it was understood in the late 18th century is key. This thesis uses the written methods of English actor-turned-elocutionist, John Walker, as the basis to proposing a rhetorical approach to late 18th century solo keyboard repertoire. Linguistic concepts of sense, structure, style, and delivery (acting) are likened to analogous concepts in galant music and supported with statements from musical treatises and examples from musical works. Two main performance case studies are considered for comparison: the first linguistic, being Walker’s 1787 annotated version of Edward IV’s speech from William Shakespeare’s "Richard III"; and the second musical, being the Adagio movement of Joseph Haydn’s 1794 Keyboard Sonata Hob. XVI:52. It is hoped that this investigation will not only expand the horizons of the author’s solo performances, but will also provide interesting and useful tools for other musicians.Short BioAnders Muskens began modern piano studies at the age of 4 in Edmonton, Canada. He graduated from the Royal Conservatory of Music, Toronto under the tutelage of Dr. Irina Konovalov. He now studies fortepiano and harpsichord at the Royal Conservatoire of The Hague with Dr. Bart van Oort, Petra Somlai, and Fabio Bonizzoni. He received numerous awards including: 1st place at the Early Music Young Ensemble Competition at the London Exhibition of Early Music 2018 in a duo with soprano Tinka Pypker; and the „Hofkapelle Elbe-Elster“ prize at the „Gebrüder Graun Prize“ 2018 with his ensemble Das Neue Mannheimer Orchester. keywords: Rhetoric, 18th century, Keyboard Repertoire, performance
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".