2020 Peter R. Stettenheim Service Award to Susan Haig
Bibliographic record
Abstract
Susan Haig In 2018, the American Ornithological Society (AOS) established the Peter R. Stettenheim Service Award, intended to carry on the tradition of the Cooper Ornithological Society (COS) Honorary Member Award, one of the oldest awards in ornithology. This award is made in honor of a senior ornithologist who has provided extraordinary service to our predecessor societies and the ornithological community. In 2020, the award is being presented to Dr. Susan Haig. Dr. Haig received her Ph.D. from the University of North Dakota in 1987 and is currently a Professor of Wildlife Ecology at Oregon State University and a Senior Scientist Emeritus with the U.S. Geological Survey Forest and Rangeland Ecosystem Center. During her distinguished and productive career, Dr. Haig made time to serve the American Ornithologists’ Union (AOU) in numerous and diverse ways. Among her earliest service contributions were memberships on the Fellows/Elective Member Nominations Committee (1993–1994), Long-Range Planning Committee (1997–2002), and Conservation Committee (1997–2017). In 1996, she began her first 4-yr term as an Elective Councilor. Dr. Haig chaired the Membership Committee from 1999 to 2002 and continued to serve until 2006. She then went on to chair the International Affairs Committee from 2002 to 2004 and continued to serve until 2010. In 2007, Dr. Haig began a 2-yr term on the Special Affairs Committee, and she took on the role of Chair of the Local Committee for the 2008 annual meeting of AOU, COS, and Society of Canadian Ornithologists (SCO) in Portland, Oregon. Perhaps one of Dr. Haig’s most influential gifts of service was the role she played as AOU representative to the joint strategic committee to evaluate a federation of ornithological societies. This effort planted the early seeds that germinated 6 yr later in the merger of the AOU and COS to create AOS. During this time, Dr. Haig provided leadership once again as an AOU Elective Councilor (2009–2010), President-Elect (2010–2012), and President (2012–2014). While she served as President, AOU and COS established the joint Central Ornithology Publications Office, a collaborative publication program for The Auk: Ornithological Advances and The Condor: Ornithological Applications, and the joint website Americanornithology.org; these efforts served as important foundations to build upon for the merger of the 2 societies. Following her presidency, Dr. Haig devoted time to maintaining the AOU Facebook page and founded and co-chaired the AOU Golden Auks, a program to connect and engage senior society members at annual meetings. She currently serves as chair of the AOS Senior Awards committee. Dr. Haig’s relentless energy and contributions to the ornithological community guided it through periods of critical change to emerge stronger than ever. In recognition of her outstanding service over the past three decades, AOS is proud to recognize Susan Haig as this year’s recipient of the Peter R. Stettenheim Service 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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.414 | 0.278 |
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".