"To Make the Negro Anew"; The African American Worker in the Progressive Imagination 1896-1928
Bibliographic record
Abstract
This dissertation examines how progressive era social scientists thought about African American workers and their place in the nation’s industrial past, present, and future.Progressives across the color line drew on a common discourse of industrial evolution that linked racial development with labor fitness. Evolutionary science merged with scientific management to create new taxonomies of racial labor fitness. I chart this process from turn of the century actuarial science which defined African Americans as a dying race, to wartime mental and physical testing that acknowledged the Negro as a vital -albeit inferior- part of the nation’s industrial workforce. During this period, African Americans struggled to prove their worth on the shop-floor, the battlefield, and the academy. This thesis contends that the modern Negro type- African Americans as objects of social scientific inquiry- which came of age in the post-World War Two era, was born in the draft boards, factories, trenches, hospitals, and university classrooms of the Progressive Era.
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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 | 0.001 | 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 | 0.008 | 0.010 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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".