From Classical Music to Contemporary Music Theatre: A Pedagogical Compendium for the Crossover Teacher
Bibliographic record
Abstract
The landscape of the collegiate voice teacher has changed considerably in recent years. From 2010–2016 total enrollment of vocal performance majors has declined 23% while enrollment in music theatre programs has grown by 33%. Research on cross-training in students earning undergraduate and graduate degrees in voice performance revealed nearly two-thirds of 2017 graduates did not receive specific training regarding the commonalities or differences between singing music theatre and opera, while 60% of graduates did not feel prepared for the current demands of either style (Saunders-Barton and Spivey, 2018). Classical music schools and conservatories are increasingly offering voice performance degrees in contemporary commercial music (CCM) styles (i.e., those found in music theatre such as country, folk, rock, pop, hip-hop and rap, gospel, and R&B), yet there are only three graduate programs for non-classical vocal pedagogy across North America.Although these vocal styles are widespread in contemporary culture and contemporary music theatre, the development of crossover vocal pedagogy based in voice science and functional physiology is nascent. In response to the need for functional crossover vocal pedagogy, this dissertation addresses the concerns of voice instructors in teaching current music theatre styles. Using lesson observations, this work will also act as a comparative assessment on stylistic and technical points of convergence and divergence between CCM styles found in music theatre and classical singing, culminating in a practical pedagogical compendium for the crossover teacher. Chapters 1– 3 examine the history of music theatre styles, assess commonalities and differences between CCM resources, and provide evidence-based research for use in the crossover lesson setting. The compendium of Chapter 4 is designed to help classical voice instructors teach the CCM styles of music theatre. Ultimately, commonalities found in Body Engagement, Imagery or Analogy, Questions to Facilitate Learning, Physical Demonstration, and Vocal Demonstration offer classical teachers confidence in their existing pedagogical knowledge when teaching contemporary music theatre. Divergent themes in Acting, Alignment, Registration, and Resonance highlight the need for further study of functional vocal pedagogy in CCM styles.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.016 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".