2020 Brina C. Kessel Award to Corey Tarwater, Ryan Germain, and Peter Arcese
Bibliographic record
Abstract
Corey Tarwater Every 2 years, the American Ornithological Society bestows the Brina C. Kessel Award for a paper published during the preceding 2 yr in The Auk: Ornithological Advances that has made an exceptional contribution to ornithology. The Kessel Award for 2020 is presented to Corey Tarwater, Ryan Germain, and Peter Arcese for their paper, “Examination of context-dependent effects of natal traits on lifetime reproductive success using a long-term study of a temperate songbird,” published in 2018. The Mandarte Island population of Song Sparrows (Melospiza melodia), first studied by Frank Tompa and later by Jamie N. M. Smith and then Peter Arcese, has made countless contributions to ornithology, ecology, behavior, and evolutionary biology. It represents one of the finest, if not the finest, long-term study of a single population of birds in North America. The present contribution by Tarwater et al., based on nearly 4 decades of information on individual probability of surviving to breed and lifetime reproductive success of a fully marked population, showed that survival and lifetime reproductive success were heavily affected by a suite of natal characters, but that maternal age and inbreeding coefficient affected both traits. Population density, which can vary tremendously from year to year at this site, interacted with inbreeding such that negative effects of inbreeding were more apparent in years of low population density. Low individual lifetime reproductive success was associated with being relatively inbred, raised by a young mother, hatching late in the season, and low body condition just prior to fledging. Fundamental and possibly most important was the conclusion that natal traits had life-long influences on fitness, and that with the exception of effects of inbreeding, the effects of other natal traits were insensitive to variation in population density. Ryan Germain Peter Arcese This year, the AOS Publications Awards Committee felt that 3 additional papers deserved recognition as runners-up for the Kessel Award: “Sex differences in migratory restlessness behavior in a Nearctic–Neotropical songbird” by J. E. Deakin, C. G. Guglielmo, and Y. E. Morbey; “Vision in an abundant North American bird: The Red-winged Blackbird” by E. Fernandez-Juricic, P. E. Baumhardt, L. P. Tyrrell, A. Elmore, S. T. DeLiberto, and S. J. Werner; and “The evolution of vocal duets and migration in New World warblers (Parulidae)” by L. R. Mitchell, L. Benedict, J. Cavar, N. Najar, and D. M. Logue, all published in The Auk: Ornithological Advances in 2019. Given in even-numbered years and consisting of a cash prize of $1,000, the Kessel Award is given in honor of Brina Kessel, former President of the AOU (1992–1994) and beloved leader and mentor in ornithology.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.560 | 0.476 |
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".