Conceptualizing Thriving: An Exploration of Students’ Perceptions of Positive Functioning Within Graduate Education
Bibliographic record
Abstract
The current wellness crisis among graduate students calls on institutions of higher education to act and advocate for student thriving. While existing research on human thriving provides insight into how this experience of positive functioning can be understood across the lifespan, what it means to thrive within graduate programs—and by extension, how to support students in their ability to thrive within these programs—remains understudied. To address this gap in the literature, this study examined how graduate students describe and understand thriving within their programs of study. We thematically and quantitatively analyzed 2,287 Canadian graduate students survey responses to the question “How would you describe a student who is thriving in your program.” Findings indicate that graduate students conceptualize thriving as a complex and multi-dimensional construct involving both academic and non-academic components. The six overarching themes of achieving, engaging, connecting, balancing, enjoying, and being provide foundation for further exploration and insight into the ways that universities and post-secondary institutions can support students’ positive functioning.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.017 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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".