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Dark Matter in Breaking Cyphers

2022· book· en· W4297896421 on OpenAlexaboutno aff
Imani Kai Johnson

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsSpectacleDanceAestheticsVitalityKinesthetic learningSociologyHistoryVisual artsArtPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Abstract The dance circle (called the cypher) is a common signifier of breaking culture, known more for its spectacular moves than as a ritual practice with foundations in Africanist aesthetics. Yet those foundations—evident in expressive qualities like call and response, the aural kinesthetic, the imperative to be original, and more—are essential to cyphering’s enduring presence on the global stage. What can cyphers activate beyond the spectacle? What lessons do cyphers offer about moving through and navigating the social world? And what possibilities for the future do they animate? With an interdisciplinary reach and a riff on physics, Johnson centers the voices of practitioners in a study of breaking events in cities across the US, in Canada, and parts of Europe. Dark Matter in Breaking Cyphers: the Life of Africanist Aesthetics in Global Hip Hop draws on over a decade of research, providing a detailed look into the vitality of Africanist aesthetics and the epistemological possibilities of the ritual circle.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.761
Threshold uncertainty score0.999

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)0.7620.001

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 head0.186
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; both teacher heads agree on what is shown here.

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

Citations8
Published2022
Admission routes1
Has abstractyes

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