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Record W2609771095 · doi:10.1093/jhmas/jrx004

“One Simply Doesn’t Arbitrate Authorship of Thoughts”: Socialized Medicine, Medical McCarthyism, and the Publishing of Rural Health and Medical Care (1948)

2017· article· en· W2609771095 on OpenAlexaff
J.T.H. Connor

Bibliographic record

VenueJournal of the History of Medicine and Allied Sciences · 2017
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsMemorial University of Newfoundland
FundersNew York Academy of Medicine
KeywordsScholarshipHealth carePublic administrationJurisdictionOpposition (politics)Health care reformPolitical scienceHealth policyNew DealLawSociologyPolitics

Abstract

fetched live from OpenAlex

Health policy and the practice of medicine in the New Deal era have been skillfully analyzed by Michael Grey, while studies by Alan Derickson and Daniel Hirshfield round out our understanding of the fight for health security in the 1930s and 1940s. They inform us that the Roosevelt administration under the adverse social and economic conditions of The Great Depression recognized the pressing need for health care reform and set an ultimate goal of a compulsory national health care plan; and despite the opposition of the American Medical Association (AMA), they resolved that —in Derickson’s words—there would be “health security for all.” Yet despite the reformers’ steady pursuit of this ideal, as Hirshfield makes clear, their efforts were doomed to become the “lost reform.” What this historical scholarship also makes clear is just how important was the role played in the health reform debates of the 1930s by rural America -- which seems, in retrospect, unusual.1 At this time, although many federal services, agencies, and departments held jurisdiction over the vast and overlapping complexities of health policy, they traditionally directed their gaze toward urban centers. It was the city, with its crowded neighborhoods, transient populations, and epidemic outbreaks, that was thought to be the source and root of so many health problems.2

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)0.014
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.779
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.019
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.110
GPT teacher head0.397
Teacher spread0.287 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

Explore more

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