Bibliographic record
Abstract
Dr. Friesen received his MD from the University of Manitoba in 1958. He began his career in research in endocrinology with a fellowship at the New England Medical Center, Boston. His initial academic appointment was at McGill University (1965-1973), followed by appointment as Professor and Head of the Department of Phys-iology and Professor of Medicine at the University of Manitoba (1973-1992). His re-search resulted in the discovery of the human pituitary hormone prolactin, defining its role in health and disease.He served as the President of the Medical Research Council (1991-2000) where he was both architect and champion for a bold new vision for Health Research in Canada that led to the creation of the Canadian Institutes of Health Research in 2000. He was the founding Chair of Genome Canada (2000-2005), an agency established to position Canada to be a world leader in selected areas of genomics, and Chair of the Board of the Gairdner Foundation (2006-2009).
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 | 0.007 | 0.032 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.006 | 0.022 |
| Insufficient payload (model declined to judge) | 0.043 | 0.041 |
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".