Raymond Darwin Cameron III (1941–2014)
Bibliographic record
Abstract
Ray Cameron was widely known as an Arctic scientist and a caribou biologist.And Ray was just as well known and appreciated by colleagues, friends, and family as social and sociable, generous, and as helpful to others as a human can be.In his community of Ester, Alaska, Ray probably plowed more driveways for friends, hosted more gatherings, and organized more barn and house raisings than anyone else.While Ray was a true-blue scientist, he was just as successful in his many "blue-collar" interests and endeavors.He could move between cogent and meticulously logical scientific argument and then, being an uninhibited entertainer, play his guitar and sing ballads and folksongs.He was an accomplished carpenter.He loved boats, airplanes, diesel cars, and trucks, and overhauled, rebuilt, and maintained many, while keeping his many other "projects" going.After receiving his BS degree from Ursinus College, Collegeville, Pennsylvania, and teaching biology for a couple of years, Ray, wife Jill, and daughter Amy moved in 1966 to Alaska, where Ray pursued a PhD in nutritional physiology under the guidance of Professor Jack R. Luick.Ray followed his PhD in 1972 from the University of Alaska with a 30-year career as a research biologist for the Alaska Department of Fish and Game (ADF&G).His strengths and leanings as a scientist were well recognized in his parallel position as a principal research scientist within the Institute of Arctic Biology and an affiliate professor of wildlife management within the Department of Biology and Wildlife at the University of Alaska Fairbanks.Ray was an untiring advocate for research and a frequent publisher of scientific papers.Ray's PhD research described for the first time the seasonal dynamics of water metabolism and body compositional changes in free-ranging animals at the Reindeer Research Station at Cantwell, Alaska.Ray showed that reindeer were highly adapted to conserve protein-nitrogen even when faced with a low-protein diet.He considered this physiological mechanism as an adaptation to the caribou's foraging on lichens, their main winter forage, which are low in protein.Ray joined ADF&G in 1974 as research biologist studying caribou responses to the Trans-Alaska Pipeline and development in the Prudhoe Bay oilfield.He, with ADF&G collaborator Ken Whitten, was instrumental in using radiocollared caribou to identify the Central Arctic Herd as a distinct herd.Then he led the way to measuring how caribou cows avoided the roads and pipelines after calving.This displacement, together with variation in insect harassment, could explain differences in herd productivity.Relating these findings to estimated productivity of females that calved within and adjacent to the oilfield led to recommendations for caribou management.Ray's findings and publications were not without controversy, and even in declining health, he was writing up the last of his analyses on the Central Arctic Herd.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.057 | 0.011 |
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".