Bibliographic record
Abstract
While hip hop and the university appear to operate within radically different social (and socioeconomic) spheres, we nevertheless see increasing overlap between the two that demonstrates a mutual interest and perhaps desire between the two. With the rise of hip hop studies on the one hand and a remarkable array of hip hop songs and films that address the university space and/or university education on the other, these two discursive spheres produce knowledges that are both complementary and contradictory. By analyzing several texts—major academic works of hip hop scholarship; films on hip hop and the university, especially Method Man and Redman’s 2001 How High; and the rap oeuvres of Kanye West and J. Cole—this article examines the ways in which the epistemologies of hip hop and the university interact and conflict. By examining these texts, I show that academic epistemologies, or what I term “book knowledge,” inadvertently impose a hierarchical and colonizing frame on rap and hip hop, such as the practice of “close reading” rap as poetry. Instead, I argue that we can learn how to ethically inhabit and transform the university space by drawing from hip hop’s commitment to producing the radical, decolonial, and embodied practices of “street knowledge.”
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.046 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".