Study of Sustainable Settlements of Hawraman, Kurdistan, and Its Sustainable Approaches to Design of a Residential Complex in Mosha Touristic Village, Iran
Bibliographic record
Abstract
Scholars are increasingly interested in investigating vernacular settlements to discover how they have been sustainable over time and find those utilized strategies which can be utilitarian for the present. Villages of Hawraman, are hitherto uninvestigated settlements in a mountainous region of Kurdistan. Considering their special sustainable characteristics plus climatic similarities of Hawraman region with the site of our project, a residential complex in Mosha touristic village, we studied extensively on these vernacular settlements. At first, through survey method in a descriptive - analytic way we extracted their sustainable characteristics in fields of environmental, economic and social issues. Second, we designed our practical project based on our inspirations from extracted features. At the end, we indicated our project’s environmental sustainable advantages rather than surrounding complexes via comparing the rate of energy consumption. In addition, by measuring the degree of social interactions, Social sustainable advantages of our project have been proved.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".