Investigating Factors Related To University Transitions
Bibliographic record
Abstract
Unanticipated transitions are particularly stressful for the emerging adulthood (EA) cohort. Brescia University College, Canada’s last women-led university, closed in spring of 2024; its students faced one such transition, which offered a unique opportunity for study. Levels of perceived social support, perceived stress, subjective well-being, and posttraumatic growth (PTG) were evaluated among former Brescia University College students (n = 25) after their transition to Western University’s main campus. Perceived social support was examined across five groups: family, friends or spouses, academic support staff, classmates, and instructors. PTG was examined under the framework of the curvilinear model (Tedeschi & Callhoun, 1995). Participants reported moderate-high levels of perceived stress (M = 32.28, SD = 6.35) and poor subjective well-being (M = 10.44, SD = 4.28). Total perceived social support and support from academic staff were significantly positively correlated with well-being and significantly negatively correlated with perceived stress. Support from family was significantly negatively correlated with perceived stress. The data did not support the curvilinear PTG model, possibly because of the small sample size.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".