Characteristics of Veterinary Students: Perfectionism, Personality Factors, and Resilience
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Perfectionism is a topic relevant to veterinary medicine and has previously been found to be related to higher levels of stress and poorer mental health outcomes. However, many aspects of perfectionism have yet to be researched among veterinary students. This research investigates the relationship between perfectionism and the "Big Five" personality factors. Additionally, the relationship between resilience and neuroticism is addressed. This research includes a sample of 99 veterinary students enrolled at a College of Veterinary Medicine in the southeastern United States. Students completed the Multidimensional Perfectionism Inventory (MPI), the Big Five Inventory (BFI), and the Brief Resilience Scale (BRS). Results show that perfectionism is significantly correlated with personality factors; specifically, self-oriented perfectionism and socially prescribed perfectionism are associated with neuroticism, socially prescribed perfectionism is associated with agreeableness, and self-oriented perfectionism is associated with conscientiousness. Neuroticism was found to have a significant negative correlation with resilience. Findings indicate that veterinary mental health professionals and educators should consider implementing specific strategies to help students develop a healthy balance in their perfectionistic beliefs and have targeted interventions to promote student resilience.
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.
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 | 0.004 |
| 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 | 0.000 | 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 it