Basic Psychological Need Satisfaction in Leisure and Academics of Chinese International Students during the COVID-19 Pandemic
Bibliographic record
Abstract
Subjective well-being (SWB) of university students is an important topic as mental health issues are common among them. Especially, Chinese international students may encounter heightened stress and anxiety during the COVID-19 pandemic along with anti-Asian hate crimes. Basic Psychological Need Theory suggests the satisfaction of autonomy, competence, and relatedness needs enhances SWB, and research shows these needs are met in leisure and academic lives. Thus, this study examines how need satisfaction during leisure and academics relates to SWB of Chinese international students. Through a cross-sectional online survey, we collected data from 444 students at a Canadian university. Structural equation modeling suggested autonomy satisfaction in leisure positively predicted leisure life satisfaction, and autonomy and competence satisfaction in academics positively affected academic life satisfaction. Leisure and academic life satisfaction had comparable positive effects on global life satisfaction. We advocate for need support in campus recreation and academics to support student mental health.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".