A pandemic era study of accounting doctoral students
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
In this study, we explore how accounting doctoral students fared during the pandemic. We survey accounting doctoral students from Canada and the United States and perform quantitative and qualitative analyses of the responses. We situate our research within social cognitive theory, and our findings suggest that accounting doctoral students experienced some stress and burnout due to exhaustion. Most students coped using healthy strategies; however, we highlight correlations between stress and burnout for those who didn’t. We also propose a series of possible interventions that can be adopted to support retention and future recruitment efforts. Some of these interventions reflect long-standing challenges faced by accounting doctoral students, such as increasing financial aid and having better-supported faculty to supervise students; however, many new challenges emerged because of shifts in doctoral studies during the pandemic and will require more innovative solutions.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it