MétaCan
Menu
Back to cohort
Record W4412844599 · doi:10.25071/28169344.140

An Analysis and Comparison of Capitalist Realism - and its Potential Alternative, Afrofuturism, Through an Exploration of Music and Art

2025· article· en· W4412844599 on OpenAlexaff
Katrina Bouwman

Bibliographic record

VenueYU-WRITE Journal of Graduate Student Research in Education · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicUtopian, Dystopian, and Speculative Fiction
Canadian institutionsYork University
Fundersnot available
KeywordsRealismArtAestheticsLiterature

Abstract

fetched live from OpenAlex

Capitalist realism traps people in a seemingly endless present. This stops culture from evolving because artists are not engaging with and reproducing artistic and cultural works from the past in meaningful ways. It has erased the past, is dictating the present and is constraining possible futures. In the past, cultures evolved by introducing new members to previously created works and traditions. This is no longer happening under capitalist realism because everything is assigned an economic value and is stripped of its generative cultural value. This renders cultural works into static icons. However, there is an alternative to capitalist realism - Afrofuturism. Afrofuturism proposes an alternative to capitalist realism by facilitating glimpses of the sheath that masks people from the Real. Mark Fisher describes the Lacanian Real as, “what any reality must suppress in order to sustain itself” (2009, p. 19). Fisher’s book Capitalist Realism: Is There no Alternative? and Kodwo Eshun’s 2003 article “Further Considerations of Afrofuturism” will be mobilized as the main texts in this exploration of the tensions between the two ideologies. The present paper analyzes capitalist realism as an ideology and compares how both Afrofuturism and capitalist realism use images and sound as a method in different ways. Finally, it presents hope for a different future where a non-capitalist world is imaginable by examining contemporary Afrofuturist art.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.741
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.261
GPT teacher head0.471
Teacher spread0.210 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueYU-WRITE Journal of Graduate Student Research in EducationSame topicUtopian, Dystopian, and Speculative FictionFrench-language works237,207