Bibliographic record
Abstract
Dr. Malcolm A. Ramsay, a dedicated evolutionary ecologist and naturalist, died at the age of 51 in a helicopter accident on the 21st May, 2000. He and a close colleague, Dr. Stuart Innes, were returning to the research station of Resolute ... after a successful day of tagging polar bears. ... They experienced a helicopter crash over the pack ice close to Lowther Island. Both researchers were killed instantly, leaving the pilot as the only survivor. Malcolm had a passion for the process of evolution, as championed by Charles Darwin and William D. Hamilton. He viewed natural selection as the ultimate force that shapes the structure and function of animals. His research on the eco-physiology of polar bears had an international reputation. His interests, however, covered an amazing array of questions about natural selection and adaptations of organisms. ... Malcolm is best known for his impressive research on polar bears. ... He and four of his students ... contributed significantly to our understanding of lactation, hibernation, fasting, body composition, eco-toxicology, and anaesthesiology of polar bears in their natural environment. ... Malcolm advocated a very liberal way of teaching, a professorial style that forced students to think about, rather than memorize, biological facts. ... His rather humble and easy going attitude was well reflected in his characteristic hair style! I consider it an honour to have been Malcolm's colleague and friend. ...
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.097 | 0.070 |
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".