Bibliographic record
Abstract
We are saddened by the passing of Dr. Barry Rewcastle in January 2014.Immigrating to Canada from the U.K., he is now recognized as one of the major contributors to the development of modern Canadian neuropathology.After several years at the University of Toronto, he moved to the University of Calgary and became Head of the Department of Pathology and Laboratory Medicine for two highly successful five year terms.I was on faculty during Dr. Rewcastle's tenure at the University of Calgary from 1981, and had the privilege of seeing him on several occasions even after his retirement in 2000.He was elected as the Representative of the Canadian Association of Neuropathologists (CANP) to the International Congress of Neuropathology in 1965 and later served as President of the CANP from 1976 to 1979.Barry attended the Worcester Grammar School on the River Severn, in western England, U.K. from 1943-49.He went on to the University of St. Andrews 1949-55, half-joking that all the best positions at Oxford and Cambridge were filled with soldiers returning from the war.He then immigrated to Canada, starting in Vancouver but later deciding to further his specialty training at the University of Toronto.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.071 | 0.047 |
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".