Enhancing the Strategies of Climate Responsive Architecture, The Study of Solar Accessibility for Buildings Standing on Sloped Sites
Bibliographic record
Abstract
One of the fundamental parameters for low energy architecture strategies implementations is to allow solar sun penetration into buildings, which can contribute to free heating in buildings and reduce energy consumption during cold season; through many design strategies that could be applied to buildings. This is not easily achieved until a complete analysis of solar accessibility is done, which in turn enables us to decide whether such strategies are applicable or not. Amman city is a case where such analysis is a must due to the problems of fuel scarcity and high fuel costs as well. In addition, the topographical nature of Amman city is not plain; rather it is almost mountainous, which makes it important to ensure solar accessibility on slope sites. Much of modern apartments in Amman were built on sloped sites. Method of research will depend on selected cases for solar radiation quantification for a number of cases including mainly modern residential buildings built on slope sites; this method will depend mainly on graphical analysis for solar penetration (INSOLATION) and theoretical calculations for the different cases. Calculations of solar radiation were based on measured global irradiation, they were calculated for the under heated period for Amman; then a strategy were built to derive new set back values. Recommendations will be as a set of rule of the thumb for direct application for the practicing architect, and they are reflected as new setback values between buildings. It will be the first step towards a complete set of regulations to ensure solar accessibility to buildings constructed on slope sites in Amman city and for other regions of similar slopes, looking for the target of maximizing solar radiation availability for minimizing fossil fuel consumption as an introduction to the study of sustainable buildings in Jordan.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".