415 Awardee Talk: Foraging for Collaboration: Beef-Forage System Strengths Unite Research and Extension Efforts in the Asas Southern Section
Bibliographic record
Abstract
Abstract The American Society of Animal Science Southern Section has a rich history of collaboration and hosts an annual professional development meeting for ASAS members. The Section meeting includes scientific presentations, academic quadrathlon, undergraduate and graduate student competitions, symposia, and networking opportunities for its members. The Section has used strategic collaborations to foster multi-state projects and initiatives. One of the key discipline focus areas of the Section is forage-based beef production systems. The Section holds two symposia focused on research, Extension, and industry topics related to beef cattle management. The Bill E. Kunkle Interdisciplinary Symposium was started in 2014 to honor the impact of Dr. Kunkle, University of Florida, and fosters multi-disciplinary communication of beef cattle science. The SERA 41 Symposium is part of the regional NIMSS project focus-group on improving production efficiency of the beef cow herd in the Southeast US. The NIMSS group works collectively to create partnerships and common goal-oriented projects across the Southern Section states. The section is also home to the Randel Physiology Lecture series which was formed in 2016 to highlight Dr. Ron Randel’s commitment to the Southern Section physiology section, and to promote high-quality science for the next generation of physiologists and endocrinologists. More than 25 peer-reviewed publications and several webinars have resulted from these symposia and invited lectureships. This creates a referenceable resource for scientists on emerging topics and identifies potential priority areas of focus for scientists within the Southern region. Another highlight of the Section is the collaborative work of the Extension committee. The Extension committee collaboratively fosters Extension program development across the Southern region. The committee developed a regional webinar series in 2015 for regional training of Extension agents on livestock and forage management topics. Subsequent in-service training courses have emerged through both virtual and in-person delivery. Training is primarily focused on forage-based livestock management systems. Through these opportunities, the Southern Section has remained a gathering point for professional engagement and should continue to evolve to meet the needs of animal scientists.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.128 | 0.026 |
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".