Studying Seven Criteria of Designing Outdoor Play Spaces in Some Kindergartens of Tehran
Bibliographic record
Abstract
Outdoor play has been formally recognized as an important part of education and creativity of children in recent years.The advantage of this approach is that they learn about the consequences of their choices and it helps to build relationships with other children as a catalyst for creativity; these activities have a significant impact for learning new skills and contributing of children.The playgrounds should be connected directly to other environments in order that children can move towards them to gain an understanding of new things.So walls and fences should be eliminated in playgroundsSeven criteria (7Cs) were recommended to design outdoor play spaces for children aged two to five.The 7Cs is based on findings identified from a five-year multidisciplinary study of outdoor play spaces at child care centers in Vancouver and include character, context, connectivity, change, chance, clarity, and challenge.This study conducted to review these criteria in ten kindergartens in Tehran which were selected randomly from different areas.In our cases the most attention pay to "change" and the least serve to "context" and total attention to the 7Cs is weak.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".