Effect of Web-Based Time-Use Intervention on Occupational Balance During the Covid-19 Pandemic
Bibliographic record
Abstract
BACKGROUND.: Restrictions implemented to control the spread of the Covid-19 pandemic may lead to disruptions in occupational balance among university students. PURPOSE.: The aim of this study was to evaluate the effectiveness of a web-based time-use intervention on the occupational balance of university students. METHOD.: A total of 60 participants were randomly assigned to the intervention and control groups. The intervention group received eight sessions of web-based time management intervention, while the control group received a single-session web-based time management intervention. Pre-and post-intervention occupational balance of the participants was evaluated with Occupational Balance Questionnaire (OBQ). FINDINGS.: The eight-session intervention was more effective than the single-session intervention in improving OBQ total scores and all individual OBQ item scores except for "Having sufficient things to do during a regular week." IMPLICATIONS.: Occupational therapists can implement web-based time management interventions to promote the occupational balance of university students during the Covid-19 pandemic.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".