Towards Sustainable New Settlements in Egypt: Lessons Learned from a Comparison between Traditional and Modern Settlements in Greater Cairo Region - Egypt
Bibliographic record
Abstract
The last few decades, Egypt drawn into a dramatic socio-economic change that causes a relative change in adopted development patterns. Different typologies of new residential districts have turned from globalized westernized world into Egyptian context. Planners and authority thought that changing adopted development patterns from traditional to modern neighborhood could provide solutions for old town's problems. On the other hand, different scholars have emphasized that traditional compact, mixed use, high-density urban forms are important for reaching sustainability goals in term of environmental, economic and social advantages. Based on a comparison of the sustainability of three case studies Shubra, Heliopolis, and new Cairo city; this research examine analyze the sustainability of New Egyptian Settlements. The analysis depends on observation and spatial analysis to investigate the variations of performances between the three case studies in terms of urban, social, environmental, and economic sustainability indicators. The research aims to assess the sustainability of moving from traditional to modern urban form in GCR' new towns and to extract development criteria and lessons learned from traditional urban form to enhance the sustainability of modern settlements. The research concluded that both traditional early developed settlements like Shubra and new planned settlements like new Cairo recorded low performance in sustainability issues, each one in its own way; and that early planned settlements like Heliopolis recorded moderate performance in sustainability issues, this paves the way for criteria to prepare new plans of new settlements and provide intensification repair tools to fix existing new settlements.
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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 | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".