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Record W7058467226

Medicine in Kentucky

2016· article· en· W7058467226 on OpenAlexaboutno aff

Bibliographic record

VenueUKnowledge (University of Kentucky) · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsFrontierHistory of medicineState (computer science)Medical practiceColonialismPrincipal (computer security)Modern medicine
DOInot available

Abstract

fetched live from OpenAlex

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.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.781
Threshold uncertainty score0.737

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)0.2640.000

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 head0.011
GPT teacher head0.219
Teacher spread0.208 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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