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Record W3181043644 · doi:10.1017/9781108773522.025

Wright’s <i>Black Boy</i> in Context

2021· book-chapter· en· W3181043644 on OpenAlexaff
Robert B. Stepto

Bibliographic record

VenueCambridge University Press eBooks · 2021
Typebook-chapter
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsWrightNarrativeContext (archaeology)HistoryMiddle PassageWhite (mutation)ArtArt historyLiteratureArchaeology

Abstract

fetched live from OpenAlex

Richard Wright published four major books between 1938 and 1945: Uncle Tom’s Children (1938), Native Son (1940), 12 Million Black Voices (1941), and Black Boy (1945). This essay discusses how Black Boy converses with the preceding three books, and how, thereby, they all contextualize each other. They are all migration narratives presenting African Americans moving from South to North in the Great Migration era. They portray black boys including Wright himself migrating from boyhood to young manhood. Collectively, they present Wright migrating into his writing career, his writing self. Once there, he can be a racial “we” and a personal “I.” Special attention is given to how 12 Million anticipates Black Boy . Quite specifically, the racial “we” in 12 Million becomes the “I” in Black Boy who tells his own story and his race’s story of starving variously in a neglectful American nation. The FSA photographs in 12 Million led Wright to see himself and others among the black people portrayed. Hearing the voices, seeing the faces, and seeing himself prepared Wright for composing American Hunger . What came out in 1945 was Black Boy , the portion of his story before he headed North.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.004
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0130.002

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 head0.049
GPT teacher head0.200
Teacher spread0.151 · 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
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

Citations0
Published2021
Admission routes1
Has abstractyes

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