Osler and the “medico-chirurgical neurologists”: Horsley, Cushing, and Penfield
Bibliographic record
Abstract
Sir Victor Horsley's lecture "On the Technique of Operations on the Central Nervous System," delivered in Toronto in 1906, set the stage for an appraisal of Sir William Osler as a protagonist for the emerging specialty of neurosurgery. During his time at McGill University from 1871 to 1884, Osler performed more than 1000 autopsies. Hispathological reports covered the topics of cerebral aneurysm, apoplectic hemorrhage, vascular infarction, subdural hematoma, meningitis, multiple sclerosis, cerebral abscess, and brain tumor. He wrote about cerebral localization and anatomy and the relationships between the morphological characteristics of the brain and intelligence and criminality. During his continuing career at Philadelphia and Baltimore, Osler published widely on problems in clinical neurology, including monographs on cerebral palsies and chorea as well as chapters on disorders of the nervous system in the first five editions of his popular textbook, The Principles and Practice of Medicine. He became familiar with many of the outstanding figures in medical neurology of his time. Regarding neurosurgery, Osler commended the pioneer operation for a brain tumor in 1884 by Rickman Godlee and the surgery for epilepsy in 1886 by Horsley. In 1907, in discussing the state of brain surgery as reviewed by Horsley, William Macewen, and others, Osler made a plea for "medico-chirurgical neurologists, properly trained in the anatomical, physiological, clinical and surgical aspects of the subject." He played a significant role as a referring physician, mentor, and friend to his young colleague Harvey Cushing (later to become Osler's Boswell), who was breaking new ground in neurosurgery at Johns Hopkins Hospital. Beyond that Osler became an inspiring hero figure for his Oxford student Wilder Penfield, who a few decades later would establish a neurological institute at McGill University where medico-chirurgical neurology would flourish.
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 | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.007 | 0.013 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.009 | 0.017 |
| Insufficient payload (model declined to judge) | 0.004 | 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".