Behavioural problems in 48-72 month old children and the role of familial factors
Bibliographic record
Abstract
This research aimed to identify 48-72 month old children with behavioral problems and to examine familial factors such as family characteristics, family involvement, and alexithymia that are thought to be associated with these problems. In line with this main objective, behavioral problems in children, family involvement, and families' alexithymia (difficulty in recognizing, expressing, and distinguishing emotions) levels were determined, and the variation in the presence of behavioral problems in children according to family characteristics, family involvement, and families' alexithymia levels was examined. A relational survey model, one of the quantitative research methods, was used to identify children with behavioral problems and to examine the familial factors affecting children's behaviors in terms of various variables. Convenience sampling was used in the study, and the sample consisted of 389 children aged 48-72 months attending preschool education institutions affiliated with the Ministry of National Education in Ordu province and their families. The "Preschool Behavioral Problems Screening Scale", "Family Information Form", "Family Involvement Scale", and "Toronto Alexithymia Scale" were used to collect research data. According to the research results, it was determined that the presence of behavioral problems in 48-72 month old children differed significantly according to some characteristics such as the age of parents, mother's educational status, number of children in the family, birth order of the child, and the family's observation of a problem in the child, while it did not cause a significant change according to some others (parents' closeness to the child, employment status, etc.), that the family involvement levels of parents of children without behavioral problems were higher than those of parents of children with behavioral problems, and that the presence of behavioral problems in children was not affected by their families' alexithymic status.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".