Bibliographic record
Abstract
Richard Wright was a cinephile, and Bigger was born at the movies. This essay traces the history of stage and film adaptations of Native Son between 1941 and 2019, a history animated by Wright’s unyielding commitment to cinema and the no less rigid institutional racism of the American film industry during his lifetime. It begins with the American film producers that pursued the rights to Wright’s bestseller upon its release, aiming to whitewash the novel so that its Hollywood adaptation could circulate in a national film distribution system overdetermined by Jim Crow audiences. It then examines the two international productions of Native Son that Wright actively shaped: a play directed by Orson Welles; and a film, starring Wright himself, produced in Argentina and directed by Pierre Chenal in 1951. It concludes with assessments of the adaptations that have succeeded Wright’s efforts on the stage and screen, most recently Nambi E. Kelley’s play (2016) and Suzan-Lori Parks and Rashid Johnson film (HBO, 2019).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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.
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".