When the World Paused for COVID-19, We Finally Caught Our Breath: Students’ Schedules, Stress, and the Busy Time of the Semester
Bibliographic record
Abstract
Life as a postsecondary student can be extremely busy especially as many students combine academic studies with volunteering, employment, and personal commitments. Students become even busier at the middle of the semester with midterms and assignments due at the same time, which can lead to stress. This busy time typically continues into the end of term. Our qualitative study with nine university students captured what happened when the busy time of the semester coincided with the start of the COVID-19 pandemic. The stress students felt during this busy time in the semester was paused while the university adjusted to online learning. Although the pandemic was stressful for many, the pause it created for students was appreciated as they were unsure how to manage all their commitments – both academic and non-academic. These findings suggest that the structure of university schedules and academic timetables may have harmful effects on student well-being.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.010 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".