Changes in Daily Occupations Patterns, Optimism, and Positive Affect During COVID-19 Lockdown
Bibliographic record
Abstract
Background. The COVID-19 outbreak caused an initial 2-week lockdown throughout Israel. Purpose. To identify (1) changes in time-usage patterns of daily occupations during the first COVID-19 lockdown, by gender and employment status, and (2) correlations among optimism, positive affect, and daily occupations during the lockdown. Method. In a voluntary, anonymous, retrospective, online cross-sectional survey, 481 participants completed the Life Orientation Test, Positive Affect Questionnaire, and Occupational Questionnaire. Findings. During lockdown, participants spent more time in recreation, rest, and sleep regardless of their employment status, and more women than men lost their employment. Both before and during lockdown, women spent significantly higher percentage of time performing everyday tasks but reported less rest and sleep than men. Recreation was associated with positive affect. Conclusion. The COVID-19 pandemic created a temporary occupational disruption. Although people devoted their time differently, the lockdown forced people to find ways to continue engaging in their occupations.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".