A Model Course to Enhance Veterinary Student Exposure to Research
Bibliographic record
Abstract
Despite many career opportunities available to veterinarians in research related fields and requirements for training in research methodologies by the American Veterinary Medical Association Council on Education (AVMA COE), formal approaches to development of veterinary curriculum related to research topics have not been widely reported. Colorado State University (CSU) offers a one-credit course that introduces first-year veterinary students to skills and career opportunities in research. Here we provide information about the course structure and content, and report outcomes of survey data that assesses the impact of the course on student appreciation and understanding of the research process. We found that most United States (US) veterinary colleges do not offer a didactic course on the research process. Student opinions of veterinary researchers were generally high, though a proportion of students (30%-40%) would have preferred a practice management class to a course on research principles. Nearly 25% of students reported that they were significantly influenced to consider research careers after taking the course. We document that this one-credit seminar course improved veterinary student perceptions of their understanding of the research process and resulted in self-reported influence of career choice.
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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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".