Arthur William Mickle Ellis (1883–1966): Canadian doctor, Rockefeller physician, army medic, medical director and university professor
Bibliographic record
Abstract
Sir Arthur William Mickle Ellis (1883-1966) was born, raised and educated in Toronto, Ontario, Canada. He had a distinguished medical career in North America and Europe which spanned important developments in medical research and education and culminated in appointment as Regius Professor of Medicine at Oxford University. He was a resident physician at the newly created Hospital of the Rockefeller Institute before the start of World War I. Serving with the Canadian Army Medical Corps in England, and responsible for the care of soldiers taken sick with highly virulent cerebrospinal meningitis, Ellis attempted an ambitious therapy and undertook laboratory investigations that impacted management of the disease directly. After the war, he became the Director of the Medical Unit and the first Professor of Medicine in the University of London at the London Hospital, and subsequently Regius Professor of Medicine in Oxford in World War II. As a research-driven academic physician, the career of Sir Arthur Ellis was influenced profoundly by Sir William Osler (1849-1919), the first Canadian to hold the position of Regius Professor in Oxford.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.007 |
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".