Warwick F. Vincent Awarded Polar Medal
Bibliographic record
Abstract
The Governor General of Canada has awarded the Polar Medal to Warwick F. Vincent for his work in Canada's polar region. The Polar Medal is awarded to individuals who have “withstood the rigours of the polar climate to make significant contributions to polar expedition and knowledge, scientific research, and the securement of Canada's northern sovereignty.” Dr. Vincent is Professor of Biology and Canada Research Chair in Aquatic Ecosystem Studies at University of Laval, Quebec in the Department of Biology. He has conducted work in a variety of aquatic systems on the diversity, function, and interactions of microbial organisms and communities and how they respond to environmental change. Much of this work has been conducted in polar regions, and Dr. Vincent's most recent research has focused on the microbial productivity and diversity, and biogeochemistry of changing permafrost environments. Dr. Vincent is involved in many collaborative projects within Canada, including leadership roles in the Arctic Exchange Study and ArcticNet programs and working with the Quttinirpaaq National Park to utilize polar ecosystems as monitoring sites for global climate change. This is the second year the Polar Medal has been awarded, replacing the Northern Medal in 2015, and Dr. Vincent is this year's sole recipient.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.292 | 0.104 |
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".