Evaluation of a First-Year Veterinary Surgical Skills Laboratory: A Retrospective Review
Bibliographic record
Abstract
A retrospective review of the first-year surgical skills competency-based assessment was performed at the Western College of Veterinary Medicine (WCVM) using 6 years of data from 475 students. The cumulative pass rate was 88.2% on first attempt and 99.2% upon remediation. Student gender did not influence overall pass/fail rates, with a failure rate of 11.1% for female students and 10.5% for male students ( p = 0.88). Significantly decreased pass rates were associated with identification of the Mayo scissors (p = 0.03), explanation of using Allis tissue forceps ( p = 0.002), and performance of a Lembert suture pattern ( p < 0.01). An increased pass rate was observed for the cruciate pattern ( p < 0.01). No differences were found in pass/fail rates for hand ties ( p = 0.80) or instrument ties ( p = 0.60). The most common errors occurred with half hitch ties: hand ties (53%) and instrument ties (38%). The most common errors were also recognized for instrument handling (31%) and needle management (20%) during the suture pattern section. The veterinary medical education community may benefit from the evidence-based findings of this research, in terms of understanding student performance across competencies, identifying areas requiring additional mentoring, and determining appropriate competencies for first-year veterinary students.
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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 | 0.016 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".