Robert Wilson Jackson, OC, MD, FRCS, FRCSc, FRCS(Ed): A Conversation with the Editor
Bibliographic record
Abstract
obert Jackson (Figure 1) was born in Toronto, Canada, in 1932 and grew up there.He received his medical degree from the University of Toronto in 1956.After a rotating internship, he did a year of research in the orthopaedic surgery department at one of the hospitals connected to the University of Toronto; for his work during that year on the proper management of fractures of the tibia, he received the International Award from the American Association for the Surgery of Trauma.After the year of research, he did 2 years of training in general surgery in Toronto.After another year in orthopaedic research in Boston, he did 18 months of orthopaedic training at the Royal National Orthopaedic Hospital in England and then 12 months of additional training in Bristol.He and his wife then returned to Toronto and the Department of Orthopaedics at the University of Toronto.Within a year, Dr. Jackson received a Markle Scholarship, which provided the opportunity for him to go to Tokyo, Japan, where he met Dr. Masaki Watanabe, who was beginning work on arthroscopy of the knee joint.He and Dr. Watanabe became good friends, and upon returning to Toronto, Dr. Jackson continued perfecting the arthroscopy techniques that had been introduced to him.It wasn't long before Dr. Jackson was the world's top arthroscopy expert, and that expertise attracted numerous orthopaedic surgeons and patients from around the world to Toronto.From 1976 to 1985, he was chief of orthopaedics at Toronto Western Hospital; in 1982, full professor in the Department of Surgery, University of Toronto; and from 1985 until 1992, chief of staff and chief of surgery at the Orthopaedic and Arthritic Hospital in Toronto.In 1992 he moved to Dallas to be chief of the Department of Orthopaedic Surgery at Baylor University Medical Center.Despite a busy practice, his research endeavors have led to the publication of 132 articles in peerreviewed medical journals and to the publication of 48 chapters in various books.
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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 | 0.003 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.010 | 0.011 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".