2019 Elliott Coues Award to Linda Whittingham and Peter Dunn
Bibliographic record
Abstract
The Elliott Coues Award recognizes outstanding and innovative contributions to ornithological research, regardless of the geographic location of the work. The American Ornithologists’ Union (AOU) established this award in honor of Elliott Coues, a pioneering ornithologist of the western United States and a founding member of the AOU. The award consists of a medal and an honorarium provided through the society’s Elliott Coues Achievement Award Fund. The 2019 Elliott Coues Award goes to Dr. Linda Whittingham and Dr. Peter Dunn. Dr. Linda Whittingham is Professor Emeritus at the University of Wisconsin at Milwaukee. Linda’s research program has been at the interface of behavioral ecology and molecular biology. She has pioneered the use of microsatellites, DNA sequencing, MHC genes, and other genetic techniques to study the reproductive behavior of birds, including mating systems, patterns of mate choice, sex ratio variation, and investment in parental care. Linda has studied the evolution and maintenance of reproductive traits, both from a phylogenetic perspective, and with field studies of common birds. She was selected as an AOS Fellow in 2006. Dr. Peter Dunn is a Distinguished Professor in the Department of Biological Sciences at the University of Wisconsin at Milwaukee. Peter’s work has been complementary to Linda’s, as they have both conducted field studies and molecular lab work on Tree Swallows and Common Yellowthroats in North America and cooperatively breeding birds in Australia. Peter has also pioneered large-scale studies of the impact of climate change on avian reproduction. He also became an AOS Fellow in 2006. Linda Whittingham and Peter Dunn are well known for their collaborative work, having published together as a team for over 25 years. They published their first joint publication in 1993, and since then over 80% of their publications have been jointly coauthored with their students and coauthors. Their joint record includes 153 peer-reviewed publications, including highly cited work in Animal Behavior, Evolution, Molecular Ecology, and Proceedings of the Royal Society London B. Combined, they have trained 18 M.Sc. and Ph.D. students and 4 postdoctoral researchers at the University of Wisconsin. In recognition of these contributions to ornithology, AOS is pleased to name Linda Whittingham and Peter Dunn as the 2019 Elliott Coues 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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.348 | 0.187 |
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".