Nerve Surgeons’ Assessment of the Role of Eduard Pernkopf ’s Atlas of Topographic and Applied Human Anatomy in Surgical Practice
Bibliographic record
Abstract
Pernkopf's Atlas of Anatomy contains anatomical plates with detailed images of the peripheral nerves. Its use is controversial due to the author's association with the "Third Reich" and the potential depiction of victims of the Holocaust. The ethical implications of using this atlas for informing surgical planning have not been assessed. Our objectives were: (1) assess the role of Pernkopf's atlas in nerve surgeons' current practice, and (2) determine whether a proposal for its ethical handling may provide possible guidance for use in surgery and surgical education.
 Published in NEUROSURGERY, Volume 84, Number 2, February 2019Presented at the American Society of Peripheral Nerve, 27th Annual Meeting,Phoenix, Arizona, January 12-14, 2018.Copyright ©2018 by the Congress of Neurological Surgeons, republished in the JBC Special Issue with permission.
 Image credit: Table of Contents image provided by the Medical University of Vienna, MUW-AD-003250-5-ABB-376
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.051 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".