Bibliographic record
Abstract
In this informed and entertaining essay, John H. Ellis describes the efforts of physicians and laymen to keep illness at bay during Kentucky's first 200 years. Medicine in Kentucky is part of the Kentucky Bicentennial Bookshelf, "a celebration of two centuries of the history and culture of The Commonwealth. John H. Ellis outlines the practice and development of medicine in Kentucky from the state of medical practices during the colonial era and the paucity of trained practitioners, to the frontier doctors of the early days of Westward expansion, to the founding of the first medical school chartered in the West, Transylvania University. Ellis also details some of the commonly encountered diseases, the various types of practitioners (allopaths, herb doctors, Thomsonians, and homeopaths), and the various, generally short-lived publications and medical societies of nineteenth century Kentucky. He highlights two native Kentuckians, Joseph Nathaniel McCormack, principal architect of the current structure of the AMA, and Abraham Flexner, whose "Medical Education in the United States and Canada” is one of the great landmarks in the field, whether one feels that he laid the foundation for modern scientific medical education or merely set in concrete nineteenth century scientism as the basis for medical education. Although dealing principally with Kentucky medicine, it reflects also on the happenings in medicine across the country. John H. Ellis is professor of history at Lehigh University in Pennsylvania.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.031 | 0.004 |
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".