2024 AOS Katma Award to Emily DuVal
Bibliographic record
Abstract
Emily DuVal The American Ornithological Society (AOS) Katma Award recognizes papers proposing ideas or testing theories that replace current dogma or settled opinion and that could change the course of thinking about the biology of birds. Papers may also include those that propose a largely untested idea or those that develop and advance it. The award may be given to research articles, short communications, or commentaries (including editorials and reviews) of any length published in any scientific venue within the two preceding years. This unique award was established in 2003 through a generous gift from the late Robert W. Storer. The 2024 Katma Award recipient is Emily DuVal for her paper, “Inferred Attractiveness: A generalized mechanism for sexual selection that can maintain variation in traits and preferences over time” (DuVal et al. 2023) which was published in the journal PLoS Biology. Emily DuVal is a professor in the Department of Biological Sciences at Florida State University, and studies complex social behavior in wild birds. She earned her PhD at the University of California Berkeley under Eileen Lacey and conducted postdoctoral research at the Max Planck Institute for Ornithology with Bart Kempenaers. Her ornithological interests began as a high school volunteer at the Florida Audubon Society Center for Birds of Prey and through undergraduate research at Rice University on Great-tailed Grackles, supervised by Kris Johnson and Joan Strassmann. Her current research investigates how strong sexual selection leads to evolutionary change, the evolution of cooperative reproduction, and mate choice in Lance-tailed Manakins. She also collaborates on studies of cooperative breeding in Brown-headed Nuthatches. Research on Lance-tailed Manakins is supported by an NSF LTREB (long-term research in environmental biology) award, and previously by an NSF CAREER award, but data collection started in 1999 with early support by an AOU Blake Award (2000) and Marcia Brady Tucker Travel Award (2004). DuVal has been an AOU/AOS member since 2001, an AOS Elective Member since 2009, and a Fellow since 2016. When not conducting fieldwork on manakins, DuVal loves learning about robots with her son, training the family’s ridiculously energetic dog, and dancing salsa. She cites collaborating with the team of colleagues who created this manuscript as a highlight of her career.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.320 | 0.145 |
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".