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How Do U.S. and Canadian Medical Schools Teach About the Role of Physicians in the Holocaust?

2015· letter· en· W775864572 on OpenAlexaboutno aff
Matthew K. Wynia, William S. Silvers, Jeremy A. Lazarus

Bibliographic record

VenueAcademic Medicine · 2015
Typeletter
Languageen
FieldArts and Humanities
TopicMedical History and Research
Canadian institutionsnot available
Fundersnot available
KeywordsThe HolocaustAccreditationMedical ethicsCurriculumMedical educationQuackeryMedicineLicensureEthical codeFamily medicineLawPolitical scienceAlternative medicinePsychiatry

Abstract

fetched live from OpenAlex

To the Editor: Almost every aspect of contemporary medical ethics is influenced by the history of physician involvement in the Holocaust. Most notorious is the unethical research by Nazi doctors, which led to the Nuremburg Code,1 but physicians and their organizations played many other roles, including in rationalizing and implementing programs of forced sterilization and “euthanasia” of disabled individuals, and in developing, testing, and refining the killing, cremation, and camouflage technologies used in the death camps.2,3 This history informs modern debates about economic and social forces in medical practice, genetic testing and therapies, public health research and practice, physician involvement in prisoner interrogations and executions, end-of-life decision making, and many other issues.1–4 Although teaching on ethics and professionalism is uniformly required in medical schools, it is not known whether or how medical students today learn this specific history. To address this, the Liaison Committee for Medical Education (LCME) included two new questions in its 2013 annual survey of U.S. and Canadian Medical schools: “Does the curriculum include required sessions that address the role of physicians in the Holocaust?” and a follow-up item on the teaching format(s) used. The methods of the survey, which is completed by every LCME-accredited medical school in the United States and Canada, are described in detail elsewhere.5 Responses to these questions reveal a stunning fact: Only 22 of 140 (16%) medical schools in the United States and Canada have any required curricular elements on the roles of physicians in the Holocaust, and half of these (11/22) teach this material using a lecture format only. Of course, surveys are imperfect, and some schools might have underreported their required course work. Also, the LCME asked only about “required sessions,” which might not cover electives that address this history or spontaneous discussion of the topic during other sessions. Still, it appears that specific attention to arguably the most influential set of events in the history of professional ethics in medicine is required at only a fraction of U.S. and Canadian medical schools—and this despite a uniform requirement to teach ethics and professionalism. Now that the LCME has documented this deficiency, the medical profession should be galvanized to ensure more focused attention to this history and its continuing relevance in training programs, such as by developing standardized curricular materials and fostering collaborations between medical schools and Holocaust resources such as museums. If the situation does not improve with voluntary efforts, the LCME should consider adopting more specific training requirements. Matthew K. Wynia, MD, MPH Director, Center for Bioethics and Humanities, University of Colorado, Aurora, Colorado; [email protected] William S. Silvers, MD Clinical professor of medicine, University of Colorado, Aurora, Colorado. Jeremy A. Lazarus, MD Clinical professor of psychiatry, University of Colorado, Aurora, Colorado.

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)0.009
metaresearch head score (Gemma)0.065
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.172
Threshold uncertainty score0.375

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.065
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0080.006
Scholarly communication0.0050.003
Open science0.0040.002
Research integrity0.0100.007
Insufficient payload (model declined to judge)0.0120.002

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 head0.050
GPT teacher head0.288
Teacher spread0.238 · 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
GenreCommentary

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

Citations13
Published2015
Admission routes1
Has abstractyes

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