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Record W4408198167 · doi:10.1080/0013838x.2025.2464394

Fractal Gentrification in Hanif Abdurraqib’s Serial Poetry

2025· article· en· W4408198167 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnglish Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsPoetryGentrificationArtFractalLiteratureMathematicsEconomicsMathematical analysis

Abstract

fetched live from OpenAlex

Hanif Abdurraqib is best-known for his essays on the affective power of popular music and Black performance, but critics have ignored his poetry’s more jaundiced depictions of the heartland immiseration that has taken place alongside the Black Lives Matter movement. In close readings of his serial lyrics – particularly one describing the changing street front outside of a Black barbershop – I argue that Abdurraqib offers a vital account of the fractal gentrification that has marked the changes in smaller cities and towns. In doing so, I mean to provoke deeper attention to the “oppositional gaze” that continues through the recent “Planetary turn” in urban studies by returning to Ruth Glass’s foundational essay in “London: Aspects of Change,” through which I argue that Americanness is always active in conversations about gentrification. The bigger question, then, is whose Americanness?

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.451
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.037
GPT teacher head0.343
Teacher spread0.305 · 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