Bibliographic record
Abstract
In 1927, Richard Wright arrived from Mississippi into Chicago, a city where he stayed for ten years, his most formative years as a writer and a period for him of political and intellectual radicalization. It was in Bronzeville, of course, where Bigger was born. Wright educated himself in Chicago within leftist literary circles, among the artists and writers of the John Reed Club, at the George Cleveland Hall Branch library, and through the interracial collaborations of the WPA’s Illinois Writers Project. Wright wrote stories while working on the project, including “Big Boy Leaves Home” (1938), and he collaborated on a provocative literary manifesto, “Blueprint for Negro Writing” (1937). Wright met sociologist Horace Cayton Jr., for whom he wrote a forceful and luminous introduction to Black Metropolis: A Study of Negro Life in a Northern City (1945), co-authored by Cayton and St. Clair Drake. A kind of ars poetica, Wright’s introduction illuminates how the conditions of Chicago were also the conditions of European fascism, and how the psychological disorder wrought by racism was connected to the burgeoning struggles for decolonization in Africa. Wright also reveals his commitment to both a Chicago tradition of social realism and the experimental styles of transatlantic modernism.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.039 | 0.011 |
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".