REVIVING ISLAMIC VALUES IN CONTEMPORARY ARAB ARCHITECTURE |CASE STUDY
Bibliographic record
Abstract
Contemporary architecture in the Arab-Islamic World is facing the challenge of finding a distinctive character that combines both the heritage of the regional building traditions and the modern society lifestyle. Since few apparent attempts aim to articulate an identity for regional architecture, this research investigates the work of the Jordanian architect, Ayman Zuaiter. Their jobs attempt to integrate the cultural values and traditions with the contemporary Arab-Islamic architecture and seek to express and represent the spirit, values, and underlying principles of the regional heritage. This study aims to offer a deeper understanding of design as both method and production, contributing in turn to understanding regional and socio-economic considerations behind forms. This study will be based on the analysis of one of Zuaiter's residential buildings, Al-Tabba'a House. The research method is mainly exploratory, which combines a review of the project primarily in terms of cultural context; responding to the site itself (understanding regional and socio-economic considerations behind forms); concepts and how techniques helped them appear the way they are; multiple personal interviews with the architect aiming to understand his design strategies to revive traditions; and the external influences that affect the design process. This study shows that Islamic Values could be delivered through each design feature in Ayman Zuaiter’s work of contemporary Arab architecture.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".