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Record W4245629299 · doi:10.1525/jpms.2020.323007

Hip Hop and the University

2020· article· en· W4245629299 on OpenAlexaff
Sara Hakeem Grewal

Bibliographic record

VenueJournal of Popular Music Studies · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsMacEwan University
Fundersnot available
KeywordsScholarshipPoetryEmbodied cognitionSociologyHop (telecommunications)PoeticsSpace (punctuation)AestheticsMedia studiesEpistemologyComputer scienceArtLiteraturePolitical scienceTelecommunicationsLinguisticsPhilosophyLaw

Abstract

fetched live from OpenAlex

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.”

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.095
GPT teacher head0.218
Teacher spread0.123 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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