Third-Year Veterinary Student Academic Encumbrances and Tenacity: Navigating Clinical Skills Curricula and Assessment
Bibliographic record
Abstract
This study is a qualitative exploration of the student experience of stress at the University of Calgary Faculty of Veterinary Medicine (UCVM). Ten third-year students from the class of 2019 participated in a semi-structured interview designed to explore the student experience surrounding stress, resiliency, and their perception of mental health awareness initiatives. Transcripts were de-identified and analyzed using thematic analysis. Two central themes of academic encumbrances and academic tenacity were identified, and each theme was further delineated into three main sub-themes associated with the Objective Structured Clinical Examination (OSCE) assessment. Students described the clinical skills course OSCEs as a primary source of stress and fear. Academic encumbrances were delineated through the sub-themes of academic load, fear of failure, and low academic self-efficacy. Students navigated these encumbrances through their academic tenacity, rooted in their sense of belonging among peers, family, and friends, a growth mindset, and self-care practices. Study results exemplify the importance of attending to student needs beyond acquiring clinical knowledge and skills. As we continue to redefine veterinary curricula and assessment, our work highlights the need for curricular streamlining, attending to student well-being, and fostering an academically balanced lifestyle. Lastly, the findings will help inform student services about the mental health needs of the students specific to academic achievement.
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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 | 0.005 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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".