The Effectiveness of Emotion Validation Pop-Up Books on the Emotional Development of Preschool Children as a Control for Children’s Mental Health Emergencies
Bibliographic record
Abstract
One of the psychological problems experienced by children is emotional mental problems which can result in unhealthy emotional and mental disorders. The incidence of this disorder is around 3-10%, in the United States it is around 3-7% while in Germany, Canada and New Zealand it is around 5-10%. In Indonesia, there are still no definite figures regarding the incidence, even though this disorder occurs quite often. The Emotion Validation Pop-Up Book Research contributes to Preschool Children increasing their understanding of felt emotions through an attractive display. This research uses a quasi-experimental design. The number of samples used in the treatment group and control group was 30 students at Kindergarten N Pembina Kab. Kendal uses a simple random sampling technique. Statistical analysis uses independent T test and paired T test. The results showed that the research showed an independent T test (0.000<α) and paired T test (0.000<α). This study concluded that there were differences in the emotional development of preschool children between the control and treatment groups and there were differences before and after in the treatment group in the use of the Preschool Children’s Emotion Validation Pop-Up Book.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".