The Mental Well-Being of Graduate Students in Canada: A Scoping Review
Bibliographic record
Abstract
Objective: To review the literature exploring the mental health of graduate students in Canada. Data Source: Articles identified in EMBASE, CINAHL, PsycInfo, Medline, Sociological Abstracts, Nursing and Allied Health, and ERIC. Study Inclusion and Exclusion Criteria:Two independent reviewers screened articles that: (1) focused on graduate students’ mental wellbeing; (2) used empirical study designs (3) were published in English; (4) were conducted in Canada. Data Extraction: Twenty-two articles met the inclusion criteria. Data was extracted on the following variables: author(s); year of publication; study design; methodology; clinical characteristics of participants; number of participants; demographic characteristics of participants, journal discipline and university. Data Synthesis: We used Dedoose, a qualitative data management program, to perform qualitative content analysis and characterize the data and identify emerging themes. Results: The content analysis led to three related themes from the included studies: Determinants of mental health in graduate students are myriad; 2) Coping Strategies for Graduate Student Stress; and 3) Bridging Support: Enhancing Mental Well-Being. Conclusion: Our study's findings highlight the significance of investigating the mental well-being of graduate students in Canada. This review showed that by promoting mental well-being, universities and institutions can create a supportive atmosphere that encourages open dialogue, provides access to counseling and other mental health resources, and implements strategies to mitigate the challenges faced by graduate students.
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.
How this classification was reachedexpand
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 | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".