Robert Wilson Jackson, OC, MD, FRCS, FRCSc, FRCS(Ed): A Conversation with the Editor
Bibliographic record
Abstract
Robert Jackson (Figure (Figure11) 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.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".