Women neuropsychiatrists on Wagner-Jauregg’s staff in Vienna at the time of the Nobel award: ordeal and fortitude
Bibliographic record
Abstract
This article profiles the scientific lives of six women physicians on the staff of the Clinic of Neurology and Psychiatry at the University of Vienna in 1927, the year when its Director, Julius Wagner-Jauregg, was awarded the Nobel Prize in Physiology or Medicine. They were all of Jewish descent and had to leave Austria in the 1930s to escape from the National Socialist regime. With a solid background in brain science and mental disorders, Alexandra Adler, Edith Klemperer, Annie Reich, Lydia Sicher and Edith Vincze pursued academic careers in the USA, while Fanny Halpern spent 18 years in Shanghai, where she laid the foundations of modern Chinese psychiatry, before going to Canada. At the dawn of their medical careers, they were among the first women to practise neurology and psychiatry, both in Austria and overseas.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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.
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".