Not just a phase: Exploring the role of program stage on well-being and motivation in doctoral students
Bibliographic record
Abstract
Doctoral students’ well-being and motivation are important factors that are both shaped by, and shape students’ academic experiences in their programs. Existing literature consistently highlights the concerning well-being and maladaptive motivational patterns in doctoral students, but no research to date attempted to explore some of the structural features associated with these wellness and achievement factors in a large-scale study. The present study examined whether doctoral program phase (i.e. coursework, comprehensive examination, or dissertation phase had an effect on 3004 doctoral students’ well-being levels (stress, depression, program satisfaction, and illness symptoms) and motivation (self-determined motivation and self-efficacy). Results revealed doctoral students to report the highest well-being and internal motivation during the coursework phase, while the comprehensive examination phase was found to be the most challenging for most students as indicated by the lowest wellness and motivation scores. A discussion of the present results and their theoretical and practical implications ensues.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".