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Record W973157800 · doi:10.5206/cie-eci.v44i1.9271

Book Review. The Rhizome of Blackness: A critical ethnography of Hip-Hop Culture, Language, Identity, and the Politics of Becoming.

2015· article· en· W973157800 on OpenAlexvenueno aff
Leigh-Anne Ingram

Bibliographic record

VenueComparative and International Education · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsEthnographyCritical ethnographyGender studiesIdentity politicsPoliticsSociologyIdentity (music)Popular cultureYouth cultureHeteroglossiaMedia studiesAnthropologyAestheticsLiteratureArtPolitical scienceLaw

Abstract

fetched live from OpenAlex

This book review analyzes Awad Ibrahim's 2014 book, entitled: The Rhizome of Blackness: A critical ethnography of Hip-Hop Culture, Language, Identity and the Politics of Becoming, published by Peter Lang. This review introduces the rhizomatic analysis used in the book to theorize the complex and multifaceted nature of Black identity within the North American context. It gives an overview of the critical ethnographic projects Ibrahim uses to illustrate the ways that Black youth are forced to deny their complex identities to fit into dominant White society, while also finding a heteroglossia of expressions in a third space through Black popular culture. The book review supports Ibrahim's proposal of using Hip-Hop and Black popular culture for a project of diversification to validate Black youth, while asking if using Hip-Hop might foreclose other opportunities to learn about expressions of Black culture beyond the confines of North American Corporate media. The book review argues that the Rhizome of Blackness provides important messages for educators about Black identity and the social construction of identity and nationhood.

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)0.001
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.552
Threshold uncertainty score0.327

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.155
GPT teacher head0.515
Teacher spread0.360 · 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
Published2015
Admission routes1
Has abstractyes

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