Bibliographic record
Abstract
I read Dr Abbasi's recent From the Editor (JRSM 2007;100:205) with some interest, especially the reference to the late Dr Robert Volpe, a member of the Journal's Editorial Advisory Board, whom I knew when working at the Toronto General Hospital in the late 1950s and who died in April 2005. I believe that Fellows would be interested to know a little of the achievements of this long-standing member of the Advisory Board. He was an internationally renowned endocrinologist and researcher, the first to highlight the role of specialized cells of the immune system in thyroid disease, and was instrumental in establishing the Canadian Society of Endocrinology and Metabolism. In 1996 he gave the celebratory lecture commemorating the 200th anniversary of the birth of Robert Graves in Dublin. He was on the staff of several of Toronto's university hospitals as Professor of Medicine for many years. A Fellow of the Royal College of Physicians and Surgeons of Canada for nearly 50 years, he was elected their Vice-President of Medicine, and in 2003 he was named an Officer of the Order of Canada, the country's highest honour for lifetime achievement. He was predeceased by his wife and survived by his four children.
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 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.034 | 0.039 |
| Insufficient payload (model declined to judge) | 0.014 | 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".