Kurt Aterman, MUDR, MB, BCh BAO HONS, DCH, MRCP, PhD, DSc, FRCPath: “A Small Man With a Very Large Cerebrum and a Soul to Match”
Bibliographic record
Abstract
Kurt Aterman was raised in the Czech-Polish portions of the former Austro-Hungarian Empire during World War I and the interwar period. After completing medical school and beginning postgraduate pediatrics training in Prague, this Jewish Czech physician fled to England as a refugee when the Nazis occupied his homeland in 1939. He repeated/completed medical training in Northern Ireland and London, working briefly as a pediatrician. Next, he served in the Royal Army Medical Corp in India, working as a pathologist. After the war and additional pathology training, he spent the next decade as an experimental pathologist in Birmingham, England. After completing a fellowship with Edith Potter in Chicago, Aterman spent the next 2 decades as a pediatric-perinatal pathologist, primarily working in Halifax, Canada. Fluent in many European languages, he finished his career as a medical historian. Aterman published extensively in all 3 arenas; many of his pediatric pathology papers were massive encyclopedic review articles, accurately recounting ideas from historical times. Aterman was a classical European scholar and his papers reflected this. Aterman was one of the founding members of the Pediatric Pathology Club, the predecessor of the Society for Pediatric Pathology. This highly successful refugee's writings are important and memorable.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".