Toward Responsibility in International Health: Death following Treatment in Rockefeller Hookworm Campaigns, 1914–1934
Bibliographic record
Abstract
Late in October 1926, a poor man from Bucamaranga, Colombia, wrote a letter to the richest man in the world. Juan de la Rosa Quintero Parra informed John D Rockefeller that his ten-year-old son, José Vicente, had “died suddenly as a result of a purge administered by the Bureau of Uncinariasis”, the local incarnation of the Rockefeller Foundation's global project to eradicate hookworm disease. The death of the boy, who worked full-time as a streetsweeper for the municipality, had been “a serious blow since he was the only one who contributed to the support of the family consisting of seven young children”. Having heard of Mr Rockefeller's generosity, Quintero appealed to him for assistance, thanked him in advance for the attention he would give to the matter, and hoped that Divine Providence would spare the great philanthropist's life for many years to come. He mailed the letter to Rockefeller Foundation headquarters at 61 Broadway in New York City, the same address where, probably unbeknownst to him, bits of his son's organs had been sent following a post-mortem. Quintero Parra's letter came to the attention of either the 84-year-old patriarch or his son, John D Rockefeller, Jr, the Foundation's president. Their executive secretary, F M Read was instructed to make inquiries into the death of the child, José Vicente Quintero.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 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".