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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".