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Record W2901848441 · doi:10.1097/corr.0000000000000558

Letter to the Editor: Nazi Medicine—Part 2: The Downfall of a Profession and Pernkopf's Anatomy Atlas

2018· letter· en· W2901848441 on OpenAlexaff
Andrew Yee, Sabine Hildebrandt, William E. Seidelman, Susan E. Mackinnon

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2018
Typeletter
Languageen
FieldArts and Humanities
TopicMedical History and Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNazismMedicineSurpriseLawNazi GermanyPoliticsSociologyPolitical science

Abstract

fetched live from OpenAlex

To the Editor, We appreciate Dr. Leopold’s decision [5] to publish Dr. Erdem Bagatur’s work [1, 2] and would like to comment specifically on several points in Dr. Bagatur’s essay on Pernkopf's atlas [2]. Dr. Bagatur describes the Pernkopf atlas as a “rare example of genuine scientific work by Nazi Physicians,” quoting sources from 1998 and 2006 [2]. However, “genuine scientific work by Nazi physicians” was not as rare as has often been assumed [8]. Some Nazi medical experiments, such as those on sulfonamides [10], and Nazi research on cancer [9], were based on scientific rationales and followed key elements of the scientific method (although the conduct of the sulfonamide experiments was both abhorrent and criminal). Indeed, an important point to be made is that strict adherence to the scientific method alone does not preclude unethical or even immoral research practice. Productive, but unethical research was also performed by Nazi anatomists [3], who used a great number of executed Nazi victims for their research and subsequent publications [11, 12]. These became part of the general canon of anatomical knowledge after the war and continue to be used. The Pernkopf atlas is one example of such work with unethical origins, resulting in modern ethical challenges in the operating room [13, 14]. For these reasons, despite the glaring moral failings of the Nazi physicians who conducted the original research, this topic remains as pressing today as it ever was, both to bioethicists and practicing surgeons. Dr. Bagatur voices surprise over the documented continued use of the Pernkopf atlas by nerve surgeons [13], who often treat patients with neuropathic pain with the goal of returning them to life with functioning extremities. We would not describe ourselves as “defenders” of the atlas, but rather as proponents of a carefully considered and ethically grounded decision to permit the use of the atlas in very specific situations. In fact, one author (SEM) found herself repeatedly in an ethical dilemma—she needed information from certain images of the Pernkopf atlas to successfully navigate surgery in complex cases [14]. Cognizant about the Nazi background of the atlas, two of the authors (AY and SEM) initiated a discussion with medical historians and religious authorities as to the permissible use of the atlas [4], and thereby contributed to the creation of the Vienna Protocol [6], a responsum (formal Jewish legal and ethical opinion) by Rabbi Joseph Polak, a Holocaust survivor and Chief Justice of the Massachusetts Rabbinical Court. After studying all relevant traditional sources, Rabbi Polak concluded that the use of the Pernkopf atlas may be permitted in specific situations under the Jewish principle of Pikuach Nefesh, the saving of human life, but only after case-specific rabbinical assessment and under the condition that the memory of the victims is honored [7].

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)0.004
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.037
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0060.007
Open science0.0030.002
Research integrity0.0300.033
Insufficient payload (model declined to judge)0.0070.005

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 head0.132
GPT teacher head0.418
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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

Citations3
Published2018
Admission routes1
Has abstractyes

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