Strategies of Employing the Principles of Sustainable Architecture in Modern Buildings
Bibliographic record
Abstract
The issue of environmental preservation and its sustainability has emerged as an important topic in all fields, including the field of architecture.New methods were not familiar before they had emerged in the design and implementation of the projects that reflect the growing interest in economic development issues in light of environmental protection.Technological development has led to the emergence of modern uses of energy and access to new sources to achieve sustainability.Hence, this study aims to clarify strategies for employing the principles of sustainable architecture in modern buildings in order to benefit from global experiences in future projects.The research adopts the descriptive analytical method.To achieve the aim of the research, several procedures were adopted, including four axes.In the first axis, the concept of sustainable architecture and related concepts are discussed.Evaluation of the reality of theoretical knowledge contained in a number of architectural literature and studies that dealt with the subject of sustainable architecture is made in the second axis.In the third axis, the theoretical framework is presented, which includes the main and secondary vocabulary that have been measured in the research, while the fourth axis constitutes the research's practical side, represented by the selection of practical study models, and final results.The conclusions of this research emphasize the adoption of modern strategies to reduce energy, such as the appropriate use of materials, effective orientation of the building, the use of certain sizes and types of openings, and making the building a part of the surrounding nature.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.001 |
| 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".