Bibliographic record
Abstract
O. Harold Warwick graduated in medicine from McGill University as a gold medalist and Rhodes Scholar in 1940. After World War II, he started postgraduate training in Montreal, and in 1946, he began studying the newly described drug treatment of cancer in London, England. There he carried out the first study of nitrogen mustard in a group of adult patients with a non-hematologic solid tumour, lung cancer. After a brief period of practice in Montreal, he moved in 1948 to Toronto, where he became executive director of the Canadian Cancer Society and the National Cancer Institute of Canada. Simultaneously, he joined the staff of Toronto General Hospital and its Radiotherapy Institute, where he became the first physician-oncologist to provide medical care and administer anticancer drugs in a Canadian cancer centre. In 1958, the new Princess Margaret Hospital opened in Toronto; Warwick became its first chief physician, responsible for clinical drug trials. Here he carried out his best known clinical study-the use of vinblastine sulphate in patients with Hodgkin lymphoma. From 1961 to 1971, he served as dean and then vice-president Health Sciences at the University of Western Ontario. He returned to the practice of medical oncology from 1972 to 1980 at the London Cancer Clinic, after which he had a long and productive retirement. He died in October 2009. Although the specialty was not named until the latter years of his career, Harold Warwick satisfied all the criteria for and was undoubtedly Canada's first medical oncologist.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.027 | 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".