Unfachable: Transcending Time, Genre, and Space in the Twenty-First Century Solo Recital.
Bibliographic record
Abstract
ABSTRACTUnfachable: Transcending Time, Genre, and Space in the Twenty-First Century Solo Recital. byApril Catherine AmanteThe intended audience for my document, Unfachable, is specifically educators and performers trained, or currently training, in the Western Classical vocal tradition, specifically in the United States and Canada. Its purpose is to give performers, coaches, artistic directors, and teachers permission to exercise their creative artistic agency within the Western Classical canon when programming, curating, and performing recitals. I approach this topic from my own positionality as a white, cisgender, heterosexual woman who has been trained in the practices of Western art singing. I am interested in how and why the standard solo vocal recital came to be, why it declined in popularity by the end of the twentieth century, and how we can reconceptualize its purpose as twenty-first-century performers and educators. I consider how the Western constructs of the Fach system, Eurocentric beauty standards, and the gender binary are potentially limiting a singer’s artistry inside and outside of the opera theater. I draw from what Cathy Berberian left us with her 1966 manifesto, The New Vocality and some of Pierre Boulez’s ideas about programming. I introduce my concept of questioning the museum exhibition tradition, include excerpts from my interview with soprano Julia Bullock, and finally I build and perform a theatrical program with a narrative, incorporating my own poetry using Kaija Saariaho’s Lohn.\n I will show how time, genre, and space can be transcended using resources and tools, like audio engineering, electronics, videography, dance, and visual art. My hope is that Unfachable can serve as an early twenty-first-century manifesto to help singers curate personalized and creative recital programs, while also meeting academic requirements for a degree program. I also hope that it can serve as a catalyst for discussions moving forward, and that future students and teachers will continue to expound on the ideas I’ve gathered.\nI extend an invitation for us all to keep questioning hegemonic constructs in the Western Classical tradition and explore where they could be limiting the full potential of our individual creative agency and our fullest ways of being.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.022 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".