Veterinary and Pharmacy Students’ Expectations Before and Experiences After Participating in an Interdisciplinary Access to Care Veterinary Clinic, WisCARES
Bibliographic record
Abstract
This pilot survey study describes student expectations and experiences at WisCARES, a low-cost veterinary medical teaching clinic where students from multiple disciplines collaborate. We hypothesized that prior to the workday, students would describe different expectations of working in an interdisciplinary access to care clinic than what they ultimately experienced. We surveyed 62 students from the School of Veterinary Medicine (46) and pharmacy (16) who spent a clinic day at WisCARES. Before introductory rounds, students completed a short survey consisting of four open-ended questions about their learning expectations; at the end of the day, they reviewed their initial responses and added what they actually learned. Qualitative information was categorized and analyzed using descriptive statistics. Thirteen major themes emerged: diversity, confidence, communication, case lead/case management, financial experience, helping people, teamwork, technical skills, inter-professional experience, mentoring, non-specific positive regard, appreciation for resources, and rounds. Students reported improved confidence in managing and leading cases with specific positive outcomes in communicating with clients, particularly regarding leading financial conversations. Developing greater insight into diversity was a common theme expressed in students' expectations but was less frequently noted as an end-of-day outcome. Veterinary students less frequently described the value of the inter-professional environment and collaboration, but this was a major theme noted among pharmacy students. Student feedback was positive overall. The current study is useful in identifying areas for improving collaborative instruction and access to care professional student learning opportunities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".