An Evaluation of Space Planning Design of House Layout to the Traditional Houses in Shibam, Yemen
Bibliographic record
Abstract
The aim of this paper is to evaluate on how good traditional house design is able to give residential satisfaction levels and could contribute towards habitability in Shibam, Yemen. House design in this study is a subject dealing with efficient space-function design of the house layout which shows cultural aspects of the community. Houses in Shibam typify the traditional architecture which reflects to the structure of family, and social and cultural realms. The houses comprises mid and high-rise mud brick house types, considered as one of the earliest high-rise house type built in the world. Today, the city of Shibam with mid and high-rises mud brick house types is recognized as one of the heritage sites under UNESCO’s World Heritage Lists. The literature study is conducted to understand the definitions of the title, which is important to identify the measurable factors for the research analysis. The study finds that diwan, dining area, bedrooms, bathrooms, corridor and storage, courtyard and balcony, and the composition of the rooms’ layout are important measurable checklist’s factors under category of space planning and function. There are two types of the research analyses which are qualitative and quantitative analysis. The qualitative analysis is a study by the researcher based on the researcher’s observation on the house design during the site visit while the quantitative analysis is from the respondents’ answers (300 respondents) on their satisfaction level from the research questionnaires. With high average scores of 94% in qualitative and 90% in quantitative analysis on satisfactory level, it shows that both results of qualitative and quantitative analysis support the research assumption. In that light, within the ambit of this study, the house design in Shibam can and does serve as a reference.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".