Bibliographic record
Abstract
In the summer of 1972, Chuck Racine, a young plant ecologist from Duke University, came to Alaska and found his calling studying the Arctic tundra.The discovery of oil at Prudhoe Bay, Alaska, in 1968, and the signing into law of the Alaska Native Claim Settlement Act (ANCSA) in 1971, cleared the way for one of the greatest acts of land conservation in history: the Alaska National Interest Lands Conservation Act (ANILCA).As part of the run-up to this conservation legislation, federal agencies began inventorying and assessing almost 100 million acres of Arctic and sub-Arctic lands in 1972, anticipating the creation of new national parks, wildlife refuges, and designated wild and scenic rivers.During that first summer, Chuck was recruited to serve on a 10-person team that evaluated lands on the Seward Peninsula for potential inclusion in the National Park system.Their evaluation study led to the creation of the Bering Land Bridge National Preserve.For the following four summers, Chuck continued in the same type of work, producing vegetation and floristic inventories of some of the most iconic lands in Alaska.During those years, he spent each summer in the field and each winter in the Lower 48 (mostly Vermont) writing up his results.Between 1972 and 1979 he authored nearly a dozen internal reports that contributed directly to the creation or expansion of the Bering Land Bridge National Preserve, Kobuk Valley National Park, Lake Clark and Katmai National Parks and Preserves, and Yukon-Charley National Preserve.A careful and meticulous observer, Chuck also began to notice and record the impact of fire and human disturbance on tundra during these long summer seasons.This was how he became a pioneer in this branch of ecology, and it became the focus of four decades of research.In the end, he published 65 widely recognized papers, six of which appeared in this journal, and he helped set the pattern for how this type of research should be conducted.Chuck was born on 22 May 1940 and grew up in Hinsdale, Illinois.He attended Lake Forest Academy in Illinois, then Dartmouth College, where his interest in plant ecology began.But it was during his graduate education at Duke University that he first became aware of the possibilities of the Arctic.His PhD began under the direction of H.J. Oosting, but when Oosting passed away, W.D. Billings took Chuck on as a student.Billings has been called the "father of Arctic plant ecology" and before long Chuck was headed north.In 1969, he completed his dissertation on the community dynamics of the oak forests of the southern Blue Ridge Escarpment.He spent the next two field seasons in the Galapagos Islands studying plant-animal interactions, but as fate would have it, in 1972 his opportunity arrived, and from then until his death in 2014, his passion was the tundra.During those years, he held academic positions at Ohio State University, Notre Dame, North Carolina State University (where he met his wife Marilyn), and the Center for Northern Studies in Vermont, before becoming a research ecologist in 1987 at the U.S. Army Cold Regions
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.061 | 0.016 |
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".