2022 AOS Florence Merriam Bailey Award to Amelia-Juliette Demery
Bibliographic record
Abstract
Amelia-Juliette Demery The Florence Merriam Bailey Award, named for the first woman “associate” of the AOU (1885) and the first woman elected as a Fellow of the AOU (1929), recognizes an outstanding article published in Ornithology or in Ornithological Applications by an early-career AOS member. This year’s award is presented to Amelia-Juliette Demery, a fourth-year Ph.D. candidate, Sloan Scholar, Women Leader in Sustainability Fellow at Cornell University, and lead author of the paper, “Bill size, bill shape, and body size constrain bird song evolution on a macroevolutionary scale,” with co-authors Kevin J. Burns and Nicholas A. Mason, published in Ornithology in 2021: Demery, A.-J. C., K. J. Burns, and N. A. Mason (2021). Bill size, bill shape, and body size constrain bird song evolution on a macroevolutionary scale. Ornithology 138:ukab011. https://doi.org/10.1093/ornithology/ukab011 In their paper, the authors show connections between 11 song variables in tanagers with specific vocal tract traits, body size, and bill shape variables that jointly influence the evolution of bird song. Through this rigorous exploration of external morphology and song elements, the authors illuminated the modularity in which different traits affect different song elements, where body size, beak size, and beak shape act on specific facets of bird song. Furthermore, the paper also highlights the opportunities in coupling external and internal morphological analysis to further elucidate the role morphology plays in avian song evolution. It is an honor to recognize Amelia-Juliette Demery and her outstanding paper with the Florence Merriam Bailey Award.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.390 | 0.273 |
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".