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Record W2489678872 · doi:10.1057/9780230102293_4

Academic Medicine during the Nazi Period: The Implications for Creating Awareness of Professional Responsibility Today

2010· book-chapter· en· W2489678872 on OpenAlex
William E. Seidelman

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2010
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMedical History and Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPeriod (music)GermanNazismEugenicsClassicsMedicineHistoryPolitical scienceLawArtAesthetics

Abstract

fetched live from OpenAlex

In the mid-1930s, a young physician from Louisiana by the name of Michael DeBakey began a period of surgical training in Europe. After studying vascular surgery in France, he moved to Germany to continue his surgical studies with Professor Martin Kirschner at the University of Heidelberg.1 Heidelberg was, at that time, recognized as a center for outstanding surgical training. Young DeBakey was following a decades old tradition whereby North American physicians traveled to the birthplace of modern scientific medicine—Europe.2 It was the German-language universities that gave birth to many of the major discoveries and developments that have formed the foundation of modern medicine and medical science. DeBakey s European quest followed in the footsteps of such eminent physicians as the clinician William Osier, the pathologist William Welch, and the surgeon William Halsted. The period that saw an eruption in knowledge and technology in clinical and basic science also witnessed the parallel development of eugenics and scientific racism, which were also considered legitimate scholarly and scientific endeavors.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.694
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.066
GPT teacher head0.328
Teacher spread0.262 · 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