The Role of Arabic Calligraphy in Forming Modern Interior Design
Bibliographic record
Abstract
The new resources in producing and configuring a new form of interior architecture in Arab world are the main focus that can adapt with human needs. Many internal and external facades in Arab region buildings always use the Arabic calligraphy as the main feature of decoration, reflecting the power of letters in minimize the impact on the massive scale. Taking into the consideration, the geometrical shapes and forms of Arabic calligraphy they all have the same power to make new designs of methodologies and concepts. The paper aims to look for the result and the interpretations of integrating the interior design contemporary trends within the Arabic cultural context, and find out new creative ideas to reconfigure the modern form in an innovative approach. This paper was cured out by experimental approach at University of Petra/Department of Interior Design, in the academic year 2013-2014. It is as a part of basic design course work (8) samples of the model which were chosen in this experiment that is related to these complexity and simplicity. The students have done these eight forms by transforming two dimensional forms to three dimensional within those three levels of design models and bridging the western trends in design approaches within the spiritual and potentials of the eastern Arabic calligraphy, which is the main focus of this paper.Finally, the result of teaching methods through seminars was discussed by elaborating the contribution of Arabic calligraphy in producing a new design methodology for contemporary interior design models.
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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 | 0.003 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".