Seeing the pandemic through children's eyes: Exploring Turkish children's views on COVID‐19 pandemic by focus‐group discussions
Bibliographic record
Abstract
BACKGROUND: The direct and indirect effects of the COVID-19 pandemic on children and youth people are well documented. Little is known about children's experiences of the pandemic in their own words. We aimed to explore Turkish children's experiences and views about the pandemic, across private and public educational systems. METHODS: Six focus group discussions were conducted online with 30 children aged between 7 to 18 years in 2021. Children were enrolled through snowball sampling technique according to developmental age groups. A thematic analysis was conducted. RESULTS: We identified five themes: Compliance with public health measures about preventing the spread of COVID-19, changes in daily routines, emotional responses to the pandemic, distance education, and adaptive responses. Overall, children were well informed and receptive to the public health preventive measures with the exception of older children's tendency to disregard physical distancing with friends. They reported frustration with those who did not comply with measures and believed that the authorities should strictly enforce public health requirements. Emotional responses comprised fear of family members and themselves being infected, anxiety produced by the uncertainty of the virus, and the loss of social support. There was a perceived disparity between students from public and private schools regarding academic self-competence. Positive aspects of the pandemic included positive interactions with family members and the acquisition of new hobbies. Although most children acknowledged the support of their parents to deal with challenges, children of health workers were particularly isolated in terms of emotional support. CONCLUSION: Our findings offer additional insights and validate previous research on the negative and positive effects of COVID-19 from the child's perspective across private and public educational systems. This study contributes to global advocacy efforts aimed at understanding the impact of the pandemic on 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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".