Traditional Islamic House (Ottoman House) Architecture, in Old Fatimid Cairo and Rosetta Cities, Egypt - An Example of Sustainable Architecture
Bibliographic record
Abstract
The unique Traditional Islamic architecture characterizes some cities in the Arab Republic of Egypt. The purpose of the study is to highlight the significance of the Traditional Islamic house design, architectural elements, and the use of low-technology in house construction concerning sustainable architecture, in Old Fatimid Cairo and Rosetta (Rashid) cities. The study's method includes a literature review; with an overview of the history, the urban form, and the Islamic house design and architectural elements influenced by the local Islamic context (natural and cultural environments). A field survey included: the selection of eleven examples, five from Old Fatimid Cairo city and six examples from Rosetta (Rashid) city representing the most famous houses including the different architectural elements, and analyzing its components, the house design, spatial organization, building materials, house elements, courtyard, Mashrabiyah, wind catchers, and the construction system. Moreover, a comparative study for the selected Islamic houses illustrates the contexts' impact on the house design. In conclusion, the study highlighted the significance of Islamic house design and low-technology in house design and construction, which could be considered sustainable architecture and developed in the form of advanced technology in the future.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".