2023 AOS William Brewster Memorial Award to Cristina Yumi Miyaki and Maren Vitousek
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,006 | 0,004 |
| Science ouverte | 0,001 | 0,006 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,689 | 0,562 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».