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Record W3178856339 · doi:10.1017/9781108773522.011

Liberalism and the Color Line

2021· book-chapter· en· W3178856339 on OpenAlexaff
John K. Young

Bibliographic record

VenueCambridge University Press eBooks · 2021
Typebook-chapter
Languageen
FieldArts and Humanities
TopicCultural History and Identity Formation
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsWrightPoliticsLiberalismWhite (mutation)SociologyMainstreamModernityNarrativeHistoryArt historyArtLawPolitical scienceLiterature

Abstract

fetched live from OpenAlex

As Richard Wright was establishing his career in the 1940s, he maintained profitable but uneasy relationships with white audiences, especially those approaching his works within the political liberalism that held sway over much of American culture in this period. While Wright’s works struck a powerful chord in redirecting American culture to acknowledge the costs of race-based exclusion, the extent of that change was only ever partial, and often depended on Wright’s narratives being disseminated and received along the lines of established, white cultural parameters. At the same time, the commercial and critical successes of Native Son and Black Boy established the foundation for Wright’s career, and his interactions with white writers, living and dead, provided influential models and connections. This essay explores this tension while situating Wright’s work and publishing history in relation to civil rights activism and cultural liberalism in the 1940s, and its (sometimes distorted) reflection in the images of Wright circulated by his publishers and the mainstream press, by tracing the paratextual materials attached to Wright’s books and the wide range of publication venues in which his stories and essays appeared.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.007
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.024
Scholarly communication0.0070.004
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.031
GPT teacher head0.170
Teacher spread0.140 · 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 designTheoretical or conceptual
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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Same venueCambridge University Press eBooksSame topicCultural History and Identity FormationFrench-language works237,207