Loye and Alden Miller Research Award 2017, to Carol M. Vleck
Bibliographic record
Abstract
The American Ornithological Society is pleased to honor Dr. Carol M. Vleck as the recipient of the Loye and Alden Miller Research Award for 2017. This award is presented for lifetime achievement in ornithological research. Carol Vleck received her B.A. with honors from Pomona College in 1972. She then remained in California and went on to earn her M.S. in 1974 at the University of California, Los Angeles (UCLA), under the guidance of Nicholas Collias, and her Ph.D. in 1978, also at UCLA, supervised by Thomas Howell (a former president of the American Ornithologists' Union) and George Bartholomew (a past recipient of the Miller Award). Upon receiving her doctorate, Carol moved to the University of Washington as a postdoctoral research associate in the lab of noted avian physiologist Donald Farner. After two brief research appointments at SUNY Buffalo and the University of Adelaide, Carol assumed a faculty position at the University of Arizona in 1980. In 1994, she moved to Iowa State University's Department of Zoology and Genetics (now Ecology, Evolution, and Organismal Biology). Carol retired in 2013 and is now an emerita professor who remains active in research and continues to train graduate students. In a research career spanning nearly 40 years, Carol has made groundbreaking advances in the general discipline of avian physiological ecology. By integrating physiology, endocrinology, behavior, ecology, and evolution, Carol, along with her students and colleagues, has published more than 100 papers that have made a significant impact and advanced our understanding of aging processes in birds, oxidative stress and senescence, the neuroendocrinology of avian incubation and reproductive behavior, and embryonic energetics. After her early and frequently cited research in avian energetics, Carol focused on avian embryogenesis and its energetic costs. Her 1980 paper in American Zoologist on growth in avian embryos continues to be an essential and cited reference on the topic. More recently, in collaboration with her Ph.D. student Mark Haussmann, Carol has largely established the study of telomere shortening and aging processes in birds—a topic that has opened up entirely new questions and comparative methods in studies of senescence in birds, the evolutionary processes that mold avian life histories, and the environmental sources of chronic stress in birds. Carol continues to be sought after as a colleague for her extraordinary skills and experience in field- and lab-based research. Carol has also been recognized for her excellence in the classroom and her continuing efforts to train and mentor young scientists. Carol M. Vleck It is for these and other lasting contributions made in a long, productive, and continuing career that the American Ornithological Society is honored to present the 2017 Miller Research Award to Carol M. Vleck. A list of previous Miller Awardees can be found at http://www.americanornithology.org/content/aos-miller-award-recipients.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.310 | 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".