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Record W2114368459 · doi:10.1017/s0008938906360128

<i>The Nuremberg Medical Trial: The Holocaust and the Origin of the Nuremberg Medical Code.</i> By Horst H. Freyhofer. New York: Peter Lang Publishing. 2004. Pp. 209. Paperback, $35.95. ISBN 0-8204-6797-9.

2006· article· en· W2114368459 on OpenAlexaff
Rebecca Wittmann

Bibliographic record

VenueCentral European History · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNuremberg trialsThe HolocaustLawNazismWar crimeTribunalHistoryPoliticsPsychoanalysisCriminologyPolitical scienceSociologyPsychologyInternational law

Abstract

fetched live from OpenAlex

In his examination of the Nuremberg Medical Trial conducted by the American Military Tribunal in 1946, Horst H. Freyhofer has not, in fact, written a book about an important war crimes trial; this is rather a book that ponders whether we can “comprehend” the crimes of Nazi doctors engaged in some of the most heinous medical experiments in history. This is a short volume that tries to cover too much: the Hippocratic oath; the history of human experimentation by doctors; the ethical implications of medical crimes from the beginning of “Western Civilization” to the present; and a theoretical analysis of medical ethics from Goldhagen, to Socrates, to Darwin, to Nietzsche, to Hegel. Freyhofer fails to provide a contextual examination of the medical trial or of Nazi trials in general. The book would have benefited greatly from an examination of the important literature on war crimes trials (Gary Bass, Belinda Cooper, Ian Buruma, Lawrence Douglas, Jörg Friedrich, Michael Marrus, and Mark Osiel, to name but a few). These scholars address key questions about the trope of the trial as a forum for the teaching of history lessons, as a political event, and for its success and failure in seeking justice in cases of mass atrocity. Freyhofer does not explore any of these avenues. Instead, the author's main thesis is that the trial “symbolizes a break, not so much with the image physicians have of themselves, but with the image patients have of themselves” (p. 11). Freyhofer argues that the trial made patients conscious—for the first time—that doctors did not always have their best interests at heart. While this is an interesting observation, it does not suffice to keep the reader engaged in the history of the trial.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.996
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0020.004
Scholarly communication0.0060.010
Open science0.0010.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0450.019

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 head0.029
GPT teacher head0.250
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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
Published2006
Admission routes1
Has abstractyes

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