Doctoral Students’ Emotional Exhaustion and Intentions to Leave Academia
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
The primary aim of this study was to better understand the antecedents of doctoral students’ emotional well-being, and their plans to leave academia. Based on past research, antecedents included departmental support, the quality of the supervisory relationship, and characteristics of the supervisory relationship. We used a mixed-methods study, and surveyed 186 doctoral students from nine countries. We found that supportive relationships, at the departmental and advisor level, reduced emotional exhaustion and intentions to leave academia, and that emotional exhaustion was positively related to doctoral students’ intentions to leave academia. Findings also indicated that advisor experience and frequency of meetings reduced students’ emotional exhaustion but did not affect their intentions to leave academia. Recommendations to reduce emotional exhaustion and to temper doctoral student attrition before and after degree completion are offered.
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 | 0.002 |
| 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 | 0.000 | 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 it