2023 AOS William Brewster Memorial Award to Cristina Yumi Miyaki and Maren Vitousek
Bibliographic record
Abstract
Cristina Yumi Miyaki Maren Vitousek The William Brewster Memorial Award is given each year to the author or coauthors of the most meritorious body of work (book, monograph, or series of related papers) on birds of the Western Hemisphere published during the past 10 years. This year, the American Ornithological Society (AOS) is announcing two Brewster Awards: one to Cristina Yumi Miyaki and one to Maren Vitousek. Selecting individuals for the William Brewster Memorial Award is particularly challenging given the amazing pool of candidates, according to Dr. Marty Leonard, Chair of the Senior Professional Awards Committee. “We are delighted to recognize Drs. Miyaki and Vitousek for their outstanding contributions to ornithology with this prestigious award,” Dr. Leonard said. Cristina Yumi Miyaki is a Professor in the Department of Genetics and Evolutionary Biology at the University of Sao Paolo, Brazil. Dr. Miyaki is a world-renowned phylogeneticist and biogeographer of the Neotropical avifauna, including parrots and endemic taxa of the Atlantic Forest region of Brazil. Her body of research is based on molecular genetics and evolutionary analysis of several avian lineages. She is also a broad-scale collaborator on large themes of psittacine evolution, cognition, and conservation genetics. She is a frequent presenter at international conferences and has published more than 140 papers, including those on birds in Nature Communications, Current Biology, Proceedings of the Royal Society B, and Molecular Ecology. Dr. Miyaki has supervised 17 master’s degree students and 12 PhD students and co-supervised 2 master’s degree students and 2 PhD students. She was elected as an Honorary Fellow of the American Ornithologists’ Union (now AOS) in 2005 and was subsequently elected as an Elective Member (2015) and Fellow (2019) of the Society. Dr. Miyaki has also served on the AOS Committee for the Nomination of Fellows and Elective Members. She is a corresponding member of the German Ornithologists Society, and a member of various working groups for the conservation of endangered species for the Brazilian government, a member of the Conservation Genetics Specialist Group for the International Union for Conservation of Nature, and a focal point of contact for the Species Survival Commission of the Brazilian International Union for Conservation of Nature Committee. Maren Vitousek is an Associate Professor in the Department of Ecology and Evolutionary Biology at Cornell University and Cornell Lab of Ornithology, Ithaca, New York. Dr. Vitousek is a widely known avian endocrinologist whose integrative work spans behavioral, evolutionary, bioclimatic, physiological, epigenetic, and microbial questions. Working closely with students and postdocs, as well as collaborators beyond her home institution, Dr. Vitousek has worked both in an intensive and long-term local study of Tree Swallows and on several successful and productive continent-wide projects on avian ecophysiology. Core interests of hers include how birds and other animals cope with stress and adjust phenotypes in response to variable environments and changing climates. Her work has illuminated how the hormonal mediators of the stress response function and evolve, and how they are shaped by early life and prior experience. She has published more than 70 peer-reviewed articles, including in PNAS, Proceedings of the Royal Society B, The American Naturalist, and Trends in Ecology & Evolution, and her research has been funded by the National Science Foundation, DARPA, and the USDA. Dr. Vitousek has been an AOS Elective Member since 2016 and an AOS Fellow since 2021. She has supervised 7 PhD students, 6 post-docs, and dozens of undergraduates, and has received both the Kendall S Carpenter Memorial Advising Award and the Faculty Excellence in Undergraduate Research Mentoring Award from Cornell. The American Ornithological Society is honored to bestow the 2023 William Brewster Memorial Awards to Cristina Yumi Miyaki and Maren Vitousek.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.689 | 0.562 |
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".