Anger and aggression in children aged 6-12 in lockdowns during the COVID-19 pandemic in Turkey
Bibliographic record
Abstract
Objective: This study investigated the relationship between parents’ emotional states and their children’s aggression and the anger and aggression levels of children between the ages of 6-12 who are in social isolation during the coronavirus disease (COVID-19) pandemic in Turkey. Materials and Methods: The study adopted a cross-sectional and descriptive design. The sample consisted of 261 parents. Data were collected online during lockdowns between May and September 2020 due to the COVID-19 pandemic. Results: More than half of the participants reported that they were unhappy (53.2%), sad (63.2%), and worried about the future due to the COVID-19 pandemic (70.8%). Less than a quarter of the participants were angry (17.6%). Children living in districts had significantly higher verbal aggression scores than those living in city centers (p <0.05). Children with relatives who tested positive for COVID-19 had significantly higher verbal aggression scores than those without (p <0.05). Conclusion: Although, preventive measures in response to the COVID-19 pandemic prevent the spread of the virus and allow parents and children to spend time together, they also adversely affect mental health.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".