Bibliographic record
Abstract
Family, friends, and colleagues recently lost Gordon Hartman (Gordo), a noted Canadian scientist who, in many ways, in many parts of the world, gave credence to the saying, "He made a meaningful difference."Hartman had a 75-year passion for salmonids, particularly North American trout and Pacific salmon (Salmonidae).It all began with an unpublished 1956 MA thesis from the department of zoology at the University of British Columbia in Vancouver.While he published early on about schooling behavior in sculpins (Cottoidea) and Smallmouth Bass Micropterus dolomieu, he also studied catastomids in 1965, and Arctic Grayling Thymallus arcticus in 1987.His initial thrust with salmonids really began through joint publications with T. G. Northcote and C. C. Lindsey in the late 1950s.By 1965, Hartman had his expertise for Coho Salmon Oncorhynchus kisutch and steelhead O. mykiss recognized in the Journal of Fisheries Research for his PhD thesis research.Hartman went on to be the senior author of 39 salmonidrelated publications and 17 joint papers.Most noteworthy, he was the senior scientist and coordinator for the longterm, interdisciplinary watershed study at Carnation Creek on Vancouver Island, British Columbia (BC), for the years 1980-1987.During this time, he was involved in publishing 26 reports on the impacts of intensive logging in a temperate, West Coas rain forest.The study is still ongoing in 2023 and reflects well on Gordon and his colleagues that follow.Some important forestry practices have changed for the better because of this research.An extensive review of Hartman's many other involvements with fish indicates he was indeed a consummate advocate for their habitat and fisheries.His unique abilities developed intentionally by integrating his experiences with research, teaching, administration, and private consulting.The following partial list of his contributions are staggering to those he worked with and mentored: fisheries biologist (1956); research scientist (1957)(1958)(1959)(1960)(1961)(1962)(1963)(1964)(1965)(1966)(1967)(1968); assistant professor (1968
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.336 | 0.219 |
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".