Skills, Knowledge, Aptitude, and Attitude Colloquium
Bibliographic record
Abstract
Three projects recently funded by the American Veterinary Medical Association (AVMA) through the National Commission on Veterinary Economic Issues (NCVEI) focused on the veterinary school applicant pool, leadership skills in the veterinary profession, and a veterinary teaching hospital business model, respectively. The Skills, Knowledge, Aptitude, and Attitude (SKAs) Colloquium was designed to present the results of these three projects, to discuss their importance for the future of the veterinary profession, and to develop action plans accordingly. In all, 24 veterinary colleges were represented at the workshop and a total of 72 attendees participated, achieving a broad representation of the veterinary profession ( both academic and non-academic). Through an orchestrated combination of general sessions and facilitated small group discussions, recommendations for implementation and initial action plans for next steps were developed. From these, a list of potential AAVMC follow-up activities was developed, including advocating and facilitating programs across schools to engage and educate faculty regarding the results of these projects; developing realistic information on careers in veterinary medicine; organizing an AAVMC leadership consortium; working toward further development and implementation of the veterinary teaching hospital (VTH) business model; coordinating and sponsoring a national forum on the future of the VTH; reviewing admissions processes; integrating leadership into veterinary curricula; and organizing opportunities for faculty development in leadership.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".