Evaluating Environmental Sustainability in Iranian Primary Schools through Design Principle Approach
Bibliographic record
Abstract
As the first educational space children spend most of their daily time in, Primary School is the best start point of fostering the priorities of environmental sustainability. Lack of consideration in this field is clearly showing the absence of environmental sustainable requirements in the guiding design principles. Yet, what are the shortcomings of design principles in Iranian primary schools? This paper aims to define the shortcomings of design principles in Iranian primary schools on the basis of environmental sustainability and present recommendation which can be considered by Iranian school designers. The adopted method of research is case study approach, and answering the research questions by qualitative data collection. To reach the aim of research, importance of environmental sustainability in a primary school is highlighted and the effect of governmental design principles on the design of school building will be reviewed through relevant literature and reliable documents. Then, environmental considerations of the design principles presented by State Organization of School Renovation, Development and mobilization in Iran are evaluated on the grounds of LEED for school rating system. In addition, Roshangar Primary school which was successfully built in accordance to the mentioned Iranian design principle is selected as the case study of research. Through a visual analysis, current practice of these design principles can be examined and presented in a clear view. The shortcomings of the above mentioned design principles will be discovered afterwards and recommendations will be presented in the conclusion of research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.014 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".