Self-Care of Canadian School Psychology Graduate Students
Bibliographic record
Abstract
This study assessed the predictive nature of professional self-care practices on various outcome variables (academic performance, psychological well-being, and affect) and investigated if self-care influenced the relationship between perceived stress and psychological well-being amongst school psychology graduate students across Canada. Participants included 102 Canadian school psychology graduate students (female: 94, male: 8, Mage: 26.9). Results indicated that professional support and life balance self-care practices predicted increased psychological well-being and that life balance predicted positive affect. Additionally, the results indicated that professional self-care practices strengthened the inverse relationship between perceived stress and psychological well-being, suggesting that self-care practices can buffer the negative effects of perceived stress on well-being. These results highlight the important role that professional self-care plays for school psychology trainees and may guide researchers and practitioners on ways to improve self-care intervention practices within professional and training settings.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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; both teacher heads agree on what is shown here.
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".