Student Experiences in Practice-Based Small Animal Clerkships
Bibliographic record
Abstract
Practice-based clerkships provide a way for students to experience the types of cases, clients, and procedures that they can expect to see in a general practice setting. These clerkships are typically quite different from those offered in teaching hospitals. Forty-seven (65.28%) of the 72 invited veterinary medicine students from three cohorts participated in pre- and post-test surveys designed to compare their expectations to their actual experiences. Students reported significant positive changes in terms of adequate supervision, approachability of practitioner, and comfort level when asking questions, as well as seeing different cases than they see at the teaching hospital. Students reported significant negative changes in terms of their ability to interact with clients as much as they expected with respect to the practice of communication skills, history-taking skills, preventative therapy discussions with clients, and treatment. These findings were supported by written survey comments regarding the most and least helpful portions of the clerkship. We suggest further research to study student experiences over time and to survey practitioners before and following placement with veterinary students; the aim would be to obtain more information about the expectations and success of practice-based clerkships.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".