The Impact of Environmental Climatic Conditions in the Mediterranean (A Comparative between Egypt and Spain)
Bibliographic record
Abstract
The Mediterranean refers to an expanse of space, countries and regions bound by and within a proximal distance with the Mediterranean Sea, which is a sea which connects to the Atlantic Ocean and surrounded by what is called the Mediterranean Basin.In general, Mediterranean climate is a temperate kind of climate, especially in areas of the Mediterranean basin, this climate type can also be found in other parts of the world.For this reason, the present study conducts an analysis of the interaction to demonstrate the complementary correlation between climatic conditions and the environment in both Egypt and Spain.The study's contribution is to scrutinize the tangible connection between the Mediterranean, their architectural surroundings, and the strategies employed to navigate through the shared and distinct environmental impacts.The Mediterranean region can be largely divided based on the climatic conditions and the geographical location with respect to the varying climate of these locations as; Northern and Southern divides or parts of the Mediterranean.This study applies the qualitative approach using illustrative qualitative analysis and comparative methods of climate-responsive vernacular strategies used in (indigenous) vernacular architecture in the Mediterranean.The vernacular architecture of the Mediterranean is popular for its practical, effective, sustainable, climate-responsive and environmental building effects.The aim of the study is to understand the similarities and differences between the strategies used to learn from knowledge and vernacular techniques in order to optimally adapt contemporary buildings to the environment, climate, and culture.Hence, the conclusions drawn in this paper establish fundamental principles and benchmarks for delineating the climate-responsive and environmental impacts of new architectural designs in coastal cities.This approach is tailored to suit the natural, social, and environmental context, ensuring compatibility with future development and reinforcing the local architectural value.
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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 | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".