PhD experience (and progress) is more than work: life-work relations and reducing exhaustion (and cynicism)
Bibliographic record
Abstract
Prior studies have reported high levels of PhD stress resulting in exhaustion and cynicism related to negative institutional factors. Yet, we know little of the possible influence of personal lives on exhaustion/cynicism. This mixed-methods study examines the interrelation. We drew on exhaustion, cynicism, life-work relation scales and free-write responses about managing life and work of 123 Swiss PhD students. Respondents typically reported positive life-work relations, with this experience particularly buffering exhaustion, which can lead to cynicism and possibly burnout. The analysis of free-write responses supported this view. Respondents reported they largely balanced/managed to balance life and work, with family most frequently referenced in this regard. Finally, we combined the scaled and free-write responses. Individuals, even if reporting exhaustion and negative aspects in their life-work relations, consistently reported being able to combine their career and life goals. This alignment may serve as a mechanism for buffering other life-work and institutional challenges.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".