Facadism: An Approach for Spatial Reconfiguration
Bibliographic record
Abstract
Baghdad’s historical center is a rich site of heritage and cultural values, yet it suffers from urban deterioration. Many urban spaces and historical structures are aging, which has caused a decline in the vitality and function of axes and open spaces. This research is based on the principle of facadism as one of the main approaches to the preservation and rehabilitation of historic and traditional buildings. The purpose is to address urban degradation and the spatial reconfiguration of urban space in a way that promotes its sustainability and revitalization. This research aims to formulate a theoretical framework that includes a list of interference patterns and their role in spatial reconfiguration. This will be applied to the spatial reconfiguration and development of Al-Rasheed Street in the historic center of Baghdad. A questionnaire elicited the opinions of experts, designers, and implementers in academic and executive institutions on the possibility of reshaping local spaces using facadism. The results of the questionnaire showed that experts support the possibility of adopting this method in spatial reconfiguration in order to intervene in the degradation of historical environments, and also to create a homogeneous and interconnected urban environment that prevents the eradication of cultural and urban heritage. By adopting the preservation of a façade in its various forms, considerations need to be made regarding its compatibility with the nature of the problems in the study area and the ineffectiveness of the pattern of dismantling and transferring a building to another place. This is due to the importance of the historical place and the need to preserve all its historical items within the fabric, in addition to the effectiveness of some detailed patterns in different items of formation.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.017 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".