Role of Environment in Connecting Disabled and Abandoned Children to Society (A case Study of Turning Rofaydeh Welfare Complex Project into a House in a Neighborhood Park)
Bibliographic record
Abstract
Due to physical and mental disability, children tend to withdraw themselves from society especially if their parents abandon them, and if society fail to establish a suitable relationship with these children, their presence will uproot from society. In this paper, we deals with the case Rofaydeh Welfare Services Complex in Iran in the he city of Tehran where 60 disabled, mentally or physically disabled children are taken care of, some of them were also orphans. The aim of the article is to provide an environment which is conducive to more relationship and interaction of these children with members of society with regard to their lack of caretaker and family, as well as protecting the primacy of the children's living spaces as their home. The research methodology included library and field methods; thus, suitable strategies were developed to achieve the goal of this paper. The research indicates that designing the complex as a house in the middle of the neighborhood park allows for children's presence in the society among the people and close interaction with people through being positioned in a neighborhood park, as well as providing the presence of the children in a space similar to a house which is every child's wish. On neighborhood scale, the park protects the children from social damages so that they feel sense of intimacy working between them and people.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".