How Play in the Forest Affects Toddlers' Attention and Environmental Sensitivity
Bibliographic record
Abstract
Abstract: Background: This study investigated the effects of forest play activities on toddlers' attention span and environmental sensitivity. The subjects of the study were 4-year-old toddlers in two classes at T Children's Center in S City, randomly assigned to experimental and comparison groups. The data collected were analyzed using SPSS. Materials and Methods: In this prospective randomized controlled study, the t-test and ANCOVA were conducted using the 26.0 program. The results showed that, first, the attention span of toddlers in the experimental group who practiced forest play activities was statistically significantly higher than that of the comparison group, and second, the environmental sensitivity of toddlers in the experimental group who practiced forest play activities was statistically significantly higher than that of the comparison group. Results: The study demonstrated that the forest play activities had a statistically significant effect on both attention span and environmental sensitivity in toddlers from the experimental group compared to the comparison group. Conclusion: This study provides empirical evidence of the positive effects of forest play activities on toddlers' attention and environmental sensitivity, suggesting that early childhood education professionals should implement forest play activities more systematically and consistently.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".