How a Disaster Preparedness Rotation Helps Teach the Seven NAVMEC Professional Competencies: The Texas A&M University Experience
Bibliographic record
Abstract
Changing societal expectations provide new challenges and opportunities for the veterinary medical profession. These changing expectations and approaches to the education of veterinary students in the future are reflected in the North American Veterinary Medical Education Consortium's report "Roadmap for Veterinary Medical Education in the 21st Century: Responsive, Collaborative, Flexible." They are also reflected in the expectations of the populace, who no longer find it acceptable that animals are not included in both planning for and responding to natural or manmade disasters. In response to the changing needs of society and the veterinary profession, Texas A&M University College of Veterinary Medicine has developed a required rotation in the fourth-year curriculum on emergency planning and response. The unique requirements of emergency preparedness and response and the design of the rotation provide an ideal platform for providing this valued public service while simultaneously addressing the seven professional competencies outlined in the NAVMEC roadmap. This article describes an overview of the rotation and its content and identifies opportunities for students to practice these important professional competencies using the tools introduced in this new rotation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".