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Record W610551100

White riot : punk rock and the politics of race

2011· book· en· W610551100 on OpenAlexaboutno aff
Stephen Duncombe, Maxwell Tremblay

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsPunkWhite (mutation)AppealLyricsPoliticsArtArt historySubject (documents)Race (biology)HistoryLiteratureSociologyGender studiesLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

From The Sex Pistols to Bad Brains, skinheads to afropunks, the punk rock movement has been obsessed by race. And yet the connections have never been addressed in a comprehensive way. White Riot will become the standard study of the subject, and the ultimate reader on the topic for punk professors and aficionados alike. The book collects writings from leading critics such as Greil Marcus and Dick Hebdige, personal reflections from punk pioneers such as Ian Stuart and The Clash's Paul Simenon, and reports on punk scenes from Tunisia to Toronto. Put together in an entertaining way to appeal to both students and fans, White Riot includes photos, lyrics, and letters as well as articles from a wide array of punk rockers, scenesters, and scholars.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.026
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.008
Scholarly communication0.0090.004
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0260.002

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 head0.025
GPT teacher head0.177
Teacher spread0.152 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations37
Published2011
Admission routes1
Has abstractyes

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