H. Stuart Innes (1953-2000)
Bibliographic record
Abstract
Dr. Stuart Innes (Canada Department of Fisheries and Oceans), along with Dr. Malcolm Ramsay (University of Saskatchewan), died in a helicopter crash near Resolute Bay, Nunavut, on 21 May 2000. Both Stu and Malcolm are remembered with affection and admiration for their boundless energy and devotion to their scientific endeavours in the Arctic. Those of us at the Department of Fisheries and Oceans (DFO) remember Stu as an outspoken and talented scientist who loved the Arctic. His research interests were diverse and included population ecology and modeling, reproduction and physiology, genetics, and contaminants. He authored and co-authored numerous papers for various journals and other publications. He was also a leader on international, national, and regional projects and committees. ... Stu spent three to four months a year conducting research in remote Arctic field camps. He had great respect for the people of the North and their land. This respect revealed itself in many ways, including his ongoing efforts to learn Inuktitut. ... He frequently lived and worked alongside Inuit, and he understood and promoted the value of incorporating their knowledge and experience into scientific studies. Stuart had a highly inquisitive mind and a real appetite for life. His joys were simple: good friends, dedicated colleagues, and the loyal companionship of his dogs. His sudden passing is a great loss to his family, friends, and colleagues. He will long be remembered by all those fortunate enough to have known him.
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 | 0.001 | 0.002 |
| 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.222 | 0.169 |
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".