Peer-Led Academic Support for Pre-Arrival Students of the BVM&S Degree Program
Bibliographic record
Abstract
Mental health challenges are of growing concern to the veterinary community. Within veterinary education, there has been increasing focus on building resilience in students and identifying likely stressors, such as the transition into the veterinary curriculum for first-year students. In this study, we evaluated a peer-led project to provide pre-arrival materials to incoming students. Through a combination of learner analytics and post-course surveys, we investigated usage of resources and the effects on student’s attitudes toward the veterinary curriculum. Over the 2 years the course has been running, 159 students (64% of total) have visited the course, but only 39% ( n = 98) have actively engaged with the materials. The course was most frequently accessed from Friday to Sunday (53% of visits), and over 50% of the visits occurred 1 week before arrival. The post-course questionnaire in the first year of the course’s delivery had a 17% response rate ( n = 24) and most students (71%) reflected on feeling anxious about beginning their studies. 88% said they felt they had benefited from the material’s availability. While not all students used the resources, providing peer-led teaching opportunities at high-stress points is an effective method of easing transitions.
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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 | 0.005 |
| 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 | 0.001 | 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".