Fall Break Fallout: Exploring Student Perceptions of the Impact of an Autumn Break on Stress
Bibliographic record
Abstract
The mental health of post-secondary students has dominated recent discourse surrounding higher education. Accordingly, many institutions have introduced a break in the fall term, designed to support student well-being. As part of an interdisciplinary, longitudinal study examining the effects of the fall break on student stress, we held focus groups with undergraduates. We observed mixed feedback surrounding this intervention. Students appreciated the fall break as an opportunity to reduce their stress, yet they frequently reported negative impacts of the break on the timing of academic assessments and their ability to effectively manage study time. Based on extensive dialogue with students, we provide recommendations for institutions which have implemented or are considering implementing a fall break as a way to support student mental health. We aim to address the paucity of qualitative research on student stress and develop a deeper understanding of the factors driving students’ responses to stress intervention policies.
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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 | 0.000 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".