Bibliographic record
Abstract
From Beyoncéâs South Asian music-inspired Super Bowl Halftime performance, to jazz artists like John and Alice Coltraneâs use of Indian song structures and spirituality in their work, to Jay-Z and Missy Elliottâs high-profile collaborations with diasporic South Asian artists such as the Panjabi MC and MIA, African American musicians have frequently engaged South Asian cultural productions in the development of Black music culture. *Sounds from the Other Side* traces such engagements through an interdisciplinary analysis of the political implications of African American musiciansâ South Asian influence since the 1960s. <br/><br/> Elliott H. Powell asks, what happens when we consider Black musiciansâ South Asian sonic explorations as distinct from those of their white counterparts? He looks to Black musical genres of jazz, funk, and hip hop and examines the work of Miles Davis, John Coltrane, Rick James, OutKast, Timbaland, Beyoncé, and others, showing how Afro-South Asian music in the United States is a dynamic, complex, and contradictory cultural site where comparative racialization, transformative gender and queer politics, and coalition politics intertwine. Powell situates this cultural history within larger global and domestic sociohistorical junctures that link African American and South Asian diasporic communities in the United States. <br/><br/> The long historical arc of Afro-South Asian music in *Sounds from the Other Side* interprets such music-making activities as highly political endeavors, offering an essential conversation about cross-cultural musical exchanges between racially marginalized musicians.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".