Doctoral students and COVID-19: exploring challenges, academic progress, and well-being
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Doctoral students often struggle with depression, anxiety, loneliness, and physical concerns, that are directly associated with their programs. Supporting doctoral students’ well-being becomes critical during a global pandemic, when students become further isolated, uncertain, and struggle academically. The present study examined students’ top challenges and coping strategies during the COVID-19 crisis, as well as gender differences in academic progress and well-being. Students’ top challenges included: inability to see family/friends, being home-bound, blurring of work/family time, isolation, and inability to access campus. Students’ top coping strategies included: seeking social support, working, exercising, watching television, and creating a comfortable routine. The COVID-19 outbreak has disrupted female students’ research progress more than males’, and female doctoral students reported feeling anxious, upset, and irritable when engaging in academic work, while males felt enthusiastic. Finally, general anxiety and stress was higher in females than males during the COVID-19 outbreak. Theoretical and practical implications are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it