2021 AOS Marion Jenkinson Service Award to Sara Kaiser
Bibliographic record
Abstract
Sara Kaiser The Marion Jenkinson Service Award is given to an individual who has performed continued extensive service to the American Ornithological Society (AOS), including holding elected offices but emphasizing volunteered contributions and committee participation. The award honors Marion Jenkinson Mengel, who served the American Ornithologists’ Union (AOU) as treasurer and in other capacities for many years and consists of a framed certificate and an honorarium. The 2021 AOS Marion Jenkinson Service Award is presented to Dr. Sara Kaiser. Dr. Kaiser received her PhD in behavioral ecology from Cornell University in 2013 and is currently a Research Ecologist at the Cornell Lab of Ornithology and Director of the Hubbard Brook Field Ornithological Program. She has been an active member of the ornithological community since graduate school, providing extensive service to the AOU, the Cooper Ornithological Society (COS), and most recently, the AOS. Dr. Kaiser served as a judge in the Student Presentation competitions for both AOU and COS in 2014–2016 and was a member of the AOU Early Professionals Committee (EPC) during the same period. In 2016, she became the chair of the EPC and served for three years, during which time she grew and re-vitalized the committee to become the integral part of AOS that it is today. In particular, Dr. Kaiser improved the Early Professionals Mini-talk Symposium, creating a visible and popular venue for new scientists to showcase their work at the annual meetings. Dr. Kaiser served on the Membership Committee in 2016–2018, and in 2019 agreed to co-chair that committee, providing leadership in analyses of member survey data that will allow the AOS to develop strategic goals to ensure that it is best serving its membership. In addition, Dr. Kaiser served for two years on the Meetings Coordination Committee in 2017–2019, and in 2019 was elected to the AOS Council. Dr Kaiser is perhaps best known for the many workshops and symposia she co-organized over the years, equipping early professionals with tools and guidance for navigating that stage of their careers. Her dedication to promoting a welcoming and inclusive environment, especially for students and early professionals, will have a lasting effect on AOS and the success of its members. In recognition of her outstanding and diverse service to AOS and its predecessor societies, the society is proud to name Sara Kaiser as the recipient of the 2021 AOS Marion Jenkinson Service Award. Please check Wing Beat (https://americanornithology.org/blog/) for a more detailed profile of the award winner.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.552 | 0.342 |
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".