Bibliographic record
Abstract
After PhD studies at the University of Toronto, and postdoctoral work in London, Alan worked at the Ontario Cancer Institute and then the Samuel Lunenfeld Research Institute (eventually as Director of Research). As inaugural president of the Canadian Institutes of Health Research (CIHR; 2000-2007), he led the transformation of health research in Canada and an almost tripling of the budget for health research. He then was named executive director of the Global HIV Vaccine Enterprise (2008-2012). Since 2012, Alan has been president of CIFAR, Canada's global research institute, where he has led major initiatives to increase CIFAR's programs of research and global impact, and launched new programs to nurture the world's next generation of researchers. Author of 250 scientific and 50 op-ed and lay publications, Alan has received numerous awards and honors, including induction into the Orders of Canada and Ontario, honorary degrees, the Gairdner Wightman Award, induction into the Canadian Medical Hall of Fame and the Henry Friesen International Prize.
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 | 0.039 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.063 |
| Scholarly communication | 0.019 | 0.017 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.008 | 0.018 |
| Insufficient payload (model declined to judge) | 0.011 | 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".