Neuroscience in Nazi Europe Part I: Eugenics, Human Experimentation, and Mass Murder
Bibliographic record
Abstract
The Nazi regime in Germany from 1933 to 1945 waged a veritable war throughout Europe to eliminate neurologic disease from the gene pool. Fueled by eugenic policies on racial hygiene, the Nazis first undertook a sterilization campaign against "mental defectives," which included neurologic patients with epilepsy and other disorders, as well as psychiatric patients. From 1939-41 the Nazis instead resorted to "euthanasia" of many of the same patients. Some neuroscientists were collaborators in this program, using patients for research, or using extracted brains following their murder. Other reviews have focused on Hallervorden, Spatz, Schaltenbrand, Scherer, and Gross, but in this review the focus is on neuroscientists not well described in the neurology literature, including Scholz, Ostertag, Schneider, Nachtsheim, and von Weizsäcker. Only by understanding the actions of neuroscientists during this dark period can we learn from the slippery slope down which they traveled, and prevent history from repeating itself.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".