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Record W1559375747

To cast out disease : a history of the International Health Division of the Rockefeller Foundation (1913-1951)

2004· book· en· W1559375747 on OpenAlex
John Farley

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicHistory of Medicine and Tropical Health
Canadian institutionsnot available
Fundersnot available
KeywordsMalariaYellow feverTyphusConfusionJungleGovernment (linguistics)HistoryGeographyAncient historyOptometryMedicineVirologyArchaeologyPsychology
DOInot available

Abstract

fetched live from OpenAlex

1. Introduction PART I: ROSE'S VISION 2. The First Stage: Rose's Vision 3. Rose's Vision: Tuberculosis in France (1917-1924) PART II: DISEASE ERADICATION 4. The First Hookworm Campaigns (1913-1920) 5. Retreat from Hookworm (1920-1930) 6. Yellow Fever: From Coast to Jungle 7. Malaria: Killing Mosquitoes and Anophilines (1915-1935) 8. World War II: DDT, Typhus, and Malaria 9. Malaria: The Ultimate Kill PART III: A RESEARCH PROGRAM 10. Reorganization and Research Laboratories (1928-1940) 11. Yellow Fever Vaccines: A Slap in the Face 12. Disease for Research PART IV: TRAINING THE EXPERTS 13. Frustrations in Sao Paulo: The Wrong Step in Rio 14. Northern Lights: London and Toronto 15. Rough Seas: Prague, Rome, Tokyo PART V: FINALE 16. Post-War Confusion: What To Do Next? 17. Conclusion: Swinging Pendulums

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.174
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.059
GPT teacher head0.263
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations128
Published2004
Admission routes1
Has abstractyes

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