An Exploration of the Relationship between Psychological Capital and Depression among First-Year Doctor of Veterinary Medicine Students
Bibliographic record
Abstract
This study examined the impact of psychological capital on depressive symptoms among Doctor of Veterinary Medicine (DVM) students (n=84) over their first two semesters of studies. Our results indicated elevated rates of depression in both the first and second semesters relative to published norms. Using the typology developed by Hafen, Reisbig, White, and Rush (2008), students were classified as either "adaptive" (i.e., improving depressive symptomatology from semester to semester) or "struggling" (i.e., worsening depressive symptomatology from semester to semester). All four components of psychological capital (i.e., self-esteem, optimism, hope, and resilience) were positively associated with adaptive response to depression. These results are significant, as the components of psychological capital can be learned and strengthened through deliberate interventions, providing tangible guidance for students, faculty, and health professionals in their efforts to improve student wellness.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".