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Record W1943954865 · doi:10.1111/1468-2427.12098

‘Street Music’, Urban Ethnography and Ghettoized Communities

2014· article· en· W1943954865 on OpenAlexaff
Simon Black

Bibliographic record

VenueInternational Journal of Urban and Regional Research · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsYork University
Fundersnot available
KeywordsEthnographySociologyPoliticsCitizenshipSocial movementResistance (ecology)Movement (music)Gender studiesAestheticsPolitical scienceAnthropologyArtLaw

Abstract

fetched live from OpenAlex

Abstract Hip‐hop is a definitively urban movement, born in the crisis of the Fordist city and rooted in the 1970s street culture of poor and working‐class African Americans and Latinos in New York City. Engaging with the contributions of Beer and Lamotte, this essay addresses two questions. Firstly, can we understand hip‐hop as a politics of resistance, a social movement rooted in a claim on urban space and a practice of urban citizenship? And secondly, is hip hop, and particularly rap music, a form of urban and regional research? I argue that as a primarily artistic movement and black expressive culture (subject to commercial imperatives), hip‐hop has a layered and complex relationship with the social, political and spatial fabric of urban America. The complexity of this relationship renders problematic attempts to understand hip‐hop as urban ethnography or as a resistance politics. I conclude by discussing the potential of an engagement between hip‐hop and critical urban studies.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0080.019
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.167
GPT teacher head0.333
Teacher spread0.166 · 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

Citations19
Published2014
Admission routes1
Has abstractyes

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