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Record W2903266882 · doi:10.2218/forum.26.2778

The Real Deal: Hip-hop Mixtape Artwork and Black Masculinity

2018· article· en· W2903266882 on OpenAlexaff
Emmett Robinson Smith

Bibliographic record

VenueFORUM University of Edinburgh Postgraduate Journal of Culture & the Arts · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsWestern University
Fundersnot available
KeywordsOppressionMasculinityAestheticsPopularityExpression (computer science)SociologyArtVisual artsGender studiesPoliticsPsychologyPolitical scienceSocial psychologyLawComputer science

Abstract

fetched live from OpenAlex

Despite hip-hop’s status as a means of resistance to myriad systems of institutionalized racism, oppression, and poverty, its rise in mainstream popularity has caused a dramatic increase in its corporate monetization. This causes a transfer of control from the artist to the record label, at times jeopardizing hip-hop’s fundamental principles of rebellion, resistance, and risk. An alternative mode of expression, however – the mixtape – puts power back into the hands of hip-hop artists, becoming a crucial vessel for unmitigated artistic expression and meaning. One of the most significant and immediately striking aspects of the mixtape is the cover art. By honing in on the visual aspects of five select mixtapes, it becomes evident that the images presented on their covers advance male hip-hop artists’ freedom of expression of black masculinity. These images, though at times problematic in their own way, become a crucial source of meaning not only in the realm of hip-hop, but in the genre’s relationship with broader societal perceptions of the black male.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.009
Scholarly communication0.0050.001
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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.

Opus teacher head0.020
GPT teacher head0.207
Teacher spread0.186 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2018
Admission routes1
Has abstractyes

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