CULTURE-LED URBAN DEVELOPMENT INITIATIVE IN A WORLD HERITAGE CITY: THE CASE STUDY OF THE OLD CITY OF DAMASCUS IN SYRIA
Bibliographic record
Abstract
Abstract. This paper deals with the process of transformation of a cultural quarter developed at al-Amin district inside the Old City of Damascus. In 2006, approximately 25–30 artists, moved to this historical neighbourhood and settled in its traditional houses, changing their function into studios/ateliers. One year later, the district was called “The Artists’ Quarter” with the acknowledgment of local and international institutions. The presence of artists’ studios and many cultural events in the area has contributed to the discovery of the rich architectural and cultural heritage of the neighbourhood and the development of a new sphere of public encounters. This quarter became a destination for tourists as well as for locals. Unfortunately, during the war in Syria, started in 2011, different negative changes have happened at al-Amin district. The study aims to (1) Highlight the origin and development of the quarter from the point of view of the artists and the dwellers; (2) Study the spatial and socio-economic effects caused by the “Artists’ Quarter”; (3) Evaluate the changes in the traditional houses due to change of their function; (4) Investigate the actual situation due to the war. Information was collected mainly from interviews with several artists, with hotels' managers and shopkeepers in the quarter, in addition to literature review, consultation of maps and plans and on-site observation. Results of the study will help in understanding this model of urban development and try to set up recommendations for integrated development and heritage management of this neighbourhood.
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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 | 0.001 | 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 | 0.011 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".