Comparison of Community Practitioner and Clinical Educator Expectations of Veterinary Graduates
Bibliographic record
Abstract
One goal of veterinary curricular development and revision is to ensure graduating veterinarians meet entry-level competencies to perform successfully in their community. Most curricula are developed by clinical educators in a university setting; therefore, we must determine whether clinical educators can predict community practitioner expectations. This article evaluates practitioners' expectations of new graduate independence in veterinary tasks and compares these expectations with those of clinical educators at the University of Wisconsin-Madison School of Veterinary Medicine (UW-SVM). A survey was designed to measure expectations of graduate-level independence within nine technical and three non-technical categories. Members of the Wisconsin Veterinary Medical Association (WVMA) and UW-SVM clinicians were invited to participate. Expected levels of independence were compared between these two populations and between WVMA specialists and generalists. Results indicated significant differences in the expected levels of graduate independence between UW-SVM clinicians and WVMA members, with UW-SVM clinicians generally expecting higher levels of independence for both technical and non-technical tasks. Although most SVM clinicians are specialists, this difference does not appear to reflect a difference in expectations between specialists and generalists, as WVMA specialists had lower expectations of graduate independence for most technical and non-technical tasks than did WVMA generalists. These results suggest that academic clinicians are not able to predict practitioners' graduate expectations or that graduates in practice are not meeting the levels of independence expected by their clinical educators. Further investigation into the differences in expectations will enable fruitful partnerships between academic clinicians, practitioners, and students in curricular design and revision.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".