Sustainable Coastal Cities between Theory and Practice (Case Study: Egyptian Coastal Cities)
Bibliographic record
Abstract
Climate change is no longer considered an environmental or scientific issue but rather a developmental challenge that requires urgent, dynamic policy and technical responses at the regional, national and local levels. Its actions and responses impact sustainable development, ensuring the integrity of all ecosystems and the protection of biodiversity. There has been an intensive discussion and research about sea level rise (S.L.R) one of the most negative impacts of climate change which affects many coastal cities around the world. Egypt is considered one of the top five countries expected to be impacted with S.L.R in the world, especially northern areas of the Nile Delta and cities located on the Mediterranean coast. This paper aims to evaluate the impact of S.L.R on the urban development strategies of the Egyptian northern coastal cities; highlighting the national response to global efforts regarding this problem in order to enhance the capacity for the adaptation and mitigation of potential impacts in the long term. Finally, it suggests some recommendations and framework actions to be taken to help Egyptian coastal cities in dealing with climate change over different timescales.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".