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Record W4404701826 · doi:10.1177/02632764241296801

Rizvana Bradley, <i>Anteaesthetics: Black Aesthesis and the Critique of Form</i> BradleyRizvanaAnteaesthetics: Black Aesthesis and the Critique of FormStanford: Stanford University Press, 2023, 406 pp. ISBN: 978-1503637139

2024· article· en· W4404701826 on OpenAlexaboutno aff
Jonathan Pugh

Bibliographic record

VenueTheory Culture & Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsnot available
Fundersnot available
KeywordsModernityAestheticsJazzBeautySubject (documents)PaintingMovie theaterArtSociologyArt historyPhilosophyEpistemology

Abstract

fetched live from OpenAlex

Taking aesthetics as a racial regime of modernity, the focus of Bradley’s Anteaesthetics is experiments in Black art which are not ‘worlding but an illimitable descent made to come before the world’. With a powerful introduction reflecting upon Nina Simone at the Montreal Jazz festival, and chapters which take us through 19th-century paintings, cinema, texts, video installations, and digital art, Anteaesthetics forces us to encounter the horror, beauty, and racially gendered dimensions of a negative inhabitation substantiated through the absolutely dispossessive field of worlding aesthetic refrains. Working against the grain of debate, aesthetics is not generatively enrolled for the modern subject possessed of ontological security to productively world itself in new ways. Rather, Anteaesthetics enables us to critically interrogate how investing in aesthetics requires working with the negative, taking an uncompromising stance towards aesthetics as a constitutive force of the ongoing violent legacies of modernity.

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)0.002
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.025
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.005
Scholarly communication0.0060.008
Open science0.0020.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0250.007

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 head0.010
GPT teacher head0.257
Teacher spread0.247 · 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
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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