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 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 | 0.001 | 0.000 |
| 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 | 0.001 |
| 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".