Discriminating Ears: Critical Receptions of Blackness in the Music of George Gershwin and William Grant Still
Bibliographic record
Abstract
At the apex of their careers, composers George Gershwin and William Grant Still produced what they believed were their finest works: respectively, Porgy and Bess (1935), an opera by a white American composer about African American subjects, and Troubled Island (1949), an opera by an African American composer about Haitian subjects. However, both works fared poorly upon their premiere, with critics decrying Porgy and Bess and Troubled Island as “unoperatic.” Besides providing historical context to both operas, this paper argues that the critical rhetoric surrounding them was tinged by racialized notions of what musical “blackness” sounded like, or should sound like, to white ears. This paper focuses on critics’ coinage of “the cheap” or “popular” as a euphemism for music inspired by African American musical traditions like jazz, the blues, and spirituals. The paper concludes that, while the art music canon can be responsive to social justice movements, critics’ scorn of works like Porgy and Bess and Troubled Island contributes to the entrenchment of an implicitly racialized high–low musical dichotomy.
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 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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.035 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".