Bibliographic record
Abstract
Abstract Though one of the most important public health agencies of the 20th century and the most powerful and richest branch of the Rockefeller Foundation, the International Health Division’s history (1913-1951) has never been told before. This original work is based on a vast multitude of letters, reports and photographs the author uncovered in the Rockefeller Archives. Farley describes the internal struggles and the conflicts with foreign and US governments of the “medical barons” who ran the organization as they set its goals and tried to eradicate some of the world’s most serious diseases. He also describes the first testing of DDT and the preparation for the US army of a yellow fever vaccine that turned out to be contaminated. He takes the reader into the often byzantine world where the organization endowed schools of public health and nursing in such diverse places as London, Toronto, fascist Rome, militaristic Tokyo, and Calcutta in the dying days of the British Raj. Farley enlivens the book with sketches of the personalities and prejudices of those who worked in the Division and of the scandals that rocked it from time to time. He shows that in the continuing debate between those who believe that disease is the root cause of ill health and poverty and those who see poverty as the primary cause, the Division remained firmly in the former position. He also shows that after it closed, former members exerted considerable influence on the development of the World Health Organization. Opposing some recent historians, Farley argues against the view that the Health Division served as an advance guard for American capitalism. His lively book will be welcomed by all who are interested in the history of public health, tropical disease, and medical institutions.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.044 | 0.024 |
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".