Development, Evaluation, and Evolution of a Peer Support Program in Veterinary Medical Education
Bibliographic record
Abstract
The majority of peer support programs in UK universities focus on academic support (e.g., through peer-assisted learning programs). Following student consultation, a pilot pastoral-based student peer support program was developed and implemented in a UK veterinary school. Thirty-one students were trained in the pilot year, and continued with the program to the end of the academic year (and beyond). The trainees were asked for feedback at the end of training and at the end of the year; the rest of the student body was surveyed as to their perception of the peer support program at the end of the year. Feedback from the training (N=19) was positive, with themes of enhanced self-development, improved communication skills, and bonding with other trainees. The wider student body responded (N=497) with concerns over confidentiality within a small community and distrust due to the competitive environment. Despite this, however, most students (74%) agreed that having peer support available created a supportive atmosphere, even if they did not personally plan on using the program. The paper concludes with a description of the changes being made to the program as a result of the evaluation.
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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 | 0.050 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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 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".