THE IMPACT OF THE COVID-19 LOCKDOWN ON CHILDREN’S DAILY ROUTINES IN TÜRKİYE
Bibliographic record
Abstract
Recent studies have pointed out that children were among those affected by the changes that COVID-19 restrictions brought to daily life. This study aims to explore how children’s routines of sleep, diet, exercise, and technology use changed during the lockdown of COVID-19, which in Türkiye was enacted between March 16th and June 1st of 2020. An online questionnaire was answered by 323 parents of children aged 4 to 12. Regression analysis was used to examine the ways in which demographics, resources, and activities correlated with parents’ perceptions of activities. The findings indicated that the amount of change in children’s daily routines was predicted more strongly by how their parents felt about their activities than by the other factors examined. Our findings will contribute to an understanding of the ways in which the COVID-19 restrictions affected children’s routines, and assist parents, teachers, and policymakers in their efforts to provide support for children.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".