Scandinavian Neuroscience during the Nazi Era
Bibliographic record
Abstract
Although Scandinavian neuroscience has a proud history, its status during the Nazi era has been overlooked. In fact, prominent neuroscientists in German-occupied Denmark and Norway, as well as in neutral Sweden, were directly affected. Mogens Fog, Poul Thygesen (Denmark) and Haakon Sæthre (Norway) were resistance fighters, tortured by the Gestapo: Thygesen was imprisoned in concentration camps and Sæthre executed. Jan Jansen (Norway), another neuroscientist resistor, escaped to Sweden, returning under disguise to continue fighting. Fritz Buchthal (Denmark) was one of almost 8000 Jews escaping deportation by fleeing from Copenhagen to Sweden. In contrast, Carl Værnet (Denmark) became a collaborator, conducting inhuman experiments in Buchenwald concentration camp, and Herman Lundborg (Sweden) and Thorleif Østrem (Norway) advanced racial hygiene in order to maintain the "superior genetic pool of the Nordic race." Compared to other Nazi-occupied countries, there was a high ratio of resistance fighters to collaborators and victims among the neuroscientists in Scandinavia.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".