“Dancing on Eggs”: Charles H. Bynum, Racial Politics, and the National Foundation for Infantile Paralysis, 1938–1954
Bibliographic record
Abstract
In 1938, President Franklin D. Roosevelt and his law partner Basil O'Connor formed the National Foundation for Infantile Paralysis (NFIP) to battle the viral disease poliomyelitis. Although the NFIP program was purported to be available for all Americans irrespective of "race, creed, or color," officials encountered numerous difficulties upholding this pledge in a nation divided by race. In 1944, NFIP officials hired educator Charles H. Bynum to head a new department of "Negro Activities." Between 1944 and 1954, Bynum negotiated the NFIP bureaucracy to educate officials and influence their national health policy. As part of the NFIP team, he helped increase interracial fund-raising in the March of Dimes, improve polio treatment for black Americans, and further the civil rights movement.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".