Applications of morphological regionalization in urban conservation: the case of Bulaq Abulela, Cairo
Bibliographic record
Abstract
The absence of a reliable tool to support local authorities in the process of boundary delimitation of significant urban areas is one of the major problems facing urban heritage conservation. This paper explores and introduces potentials of applying the concept of urban regions, and methods of urban regionalization, as a new approach to better inform processes of delimitation of significant urban areas in Cairo, Egypt. This is an important step towards urban conservation in a city where strong pressures of urbanization and the eradication of traditional and historic urban fabric represent a major threat. By tracing the morphological transformation of the historic quarter of Bulaq Abulela, then applying the morphological regionalization process to a selected area of study, several important historical urban gains that are not included within the national protection boundaries, are revealed. This calls for revisiting current local protection boundaries of the historic quarter, as well as a revision of the adopted local processes of protection boundaries delimitation in general. It also calls for the application of morphological regionalization in processes of boundary delimitation for urban conservation areas.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".