Moving Away Shutdown K(qu)arantine (MASK) Study: Examining the Lived Exerperiences of Out-of-State College Students
Bibliographic record
Abstract
The goal of this research study was to understand the experiences of out-of-state students living on campus during the COVID-19 pandemic at The Ohio State University (OSU). The out- of-state student population at OSU makes up roughly a quarter of the entire undergraduate student population and they bring diversity, unique perspectives, and different traditions to campus life (OSU Enrollment, 2023). Alternatively, out-of-state students move away from home to further their educational outcomes. As a result, out-of-state students may enter higher education with less of a support system nearby or fewer family and other social ties, which can be a significant lifestyle adjustment. To date, no studies, to my knowledge, examined the experiences of out-of-state students during the COVID-19 pandemic; illuminating a prominent gap in the literature. This qualitative study sought to explore how out-of-state college students coped with changes and challenges associated with the COVID-19 pandemic. In total, eight undergraduate students from states other than Ohio participated in one-hour interviews. Using thematic coding procedures, findings indicated this population experienced notable challenges during the pandemic such as difficulty learning in online environments, challenges building relationships, and mental health challenges. Many coped by procrastinating or turning to negative outlets like alcohol, whereas other students exercised, journaled, or forged new friendships to cope with stress during this time. Findings have the potential to elevate the experiences of out-of-state college students regarding their overall health, mental health, coping abilities, and outlook on learning to inform future prevention, intervention, and crisis response efforts in the future.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".