Bibliographic record
Abstract
Afrofuturism is a speculative art and theoretical movement that transports us through Black and Afrodiasporic gazes and imaginaries. It is introduced as a site of Black iteration, an oppositional thematic universe, and as continuing a legacy of resistance and oppositional postures where, often through self-reflexivity and self-revelation, Black people theorize Black subjectivities. This paper argues that Afrofuturism holds untapped psychological relevance, underscored by its potential to provide new frameworks for understanding and addressing Black subjectivity and mental health, challenging traditional narratives, and advancing innovative and liberatory perspectives. By creating worlds that decenter whiteness and imagining Black people not only existing in but actively creating the future, Afrofuturism offers a transformative lens for understanding Black experiences and possibilities. The concept of “Postapocalyptic People,” inspired by sci-fi narratives of futures with echoes from the past, is introduced to theorize the subjectivities of those shaped by the Maafa—an historical and ongoing apocalypse—and is distinguished from terms such as marginalized, minoritized, or subaltern as we explore how Afrofuturism navigates and transcends worlds shaped by a cataclysmic event. These themes are explored in the context of psychology’s historical and ongoing interactions with Black subjectivity, with an emphasis on Afrofuturism’s potential to inform theory and practical applications, such as interventions and methodologies that center Black cultural creativity, self-authoring, and liberation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.058 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".