Passive Cooling Techniques in Historical Building Versus Contemporary Bio Mimic Concepts: An Overview
Bibliographic record
Abstract
Passive cooling techniques have been a problem in design and construction, due to climatic factors, fossil fuel usage, and other environmental issues that have been on the rise. This review paper is aimed at revisiting various passive cooling techniques that have been applied in the past and contemporary techniques that are being applied now. Research in passive cooling techniques has been proposed throughout the world. This research will focus on the use of the bio-mimic concept approaches that have been adopted in the design and construction of buildings around the world. Case studies of biomimicry design approaches like the East Gate Office building in Harare used the concept of termite mounds, natural techniques, and sustainable materials to cool the building. Rooftop garden construction techniques have created a balance in the temperature of indoor spaces in buildings, as seen in the Vancouver Convention Center in Canada. This review paper is limited to bio-mimic design approaches to passive cooling techniques, and it is seen to have significant solutions to energy efficiency in buildings. Further studies can also be carried out in search of alternative methods or approaches that can be adopted for sustainable design techniques.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".