Bibliographic record
Abstract
This research aims to design a "baby house" in which spaces are compatible with children's physical and mental conditions, based on technical, health, social and spatial principles for development and nurture of creativity.Among many influential factors in development of child creativity, impact of quality of architectural space on fostering creativity has been neglected.Therefore, educational spaces are of the most important influential environments in child's personality, because children make up the most sensitive and impressible age group in a community.They need to experience social life on their own scale in most sensitive and important years of their life when foundations of their mental, physical and social development are formed until they enter the city, and this requires provision of a childish and sincere atmosphere.Kindergartens that have been studied in the country include Rahian Roshd Nursery and Gheseye man Nursery, and the ones studied abroad include Trenton Nursery (Wall Pasteur, Southern Tyrol, Italy), Welles-Rubio Nursery (located in Spain), Fur Fetters Haust, Vietnam's "agriculture Nursery" and Barbapapa Nursery (Vigenaura, Modena, Italy), that were studied in terms of furniture, training and furniture of classes.In this research, designed and implemented architectural samples in terms of performance and psychological aspects have been criticized, reviewed and compared, and comprehensive principles were developed for designing this important space using obtained results.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.943 | 0.950 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".