Clean Energy Efficiency of Vernacular-Traditional Architectural Indicators for the Development of Sustainable Tourism
Bibliographic record
Abstract
Over the decades, due to the different crises, in which people are involved, they are trying to remove these big challenges with their dynamic mind. The consecutive changes in climatic conditions on one hand and energy crises on the other hand have affected human life every moment. It seems that through considering the attitudes to clean energies and their efficiency through inspiring past experiences in a combination of past and present time can not only show response to the coming problems, but also it can cover some parts of economic considerations. Tourism industry that has been considered for many years as one of the sustainable economic aspects can be valuable base for the said combination. This study tends to introduce a triangle of sustainable origins of tourism based on 3 mentioned factors including decline of energy resources, vernacular-traditional architecture experiences and tourism industry. According to the mentioned, it is necessary to implement some plans in way of use of nature of clean energies with approach of sustainable development and create some powerful foundations for this purpose through an overview of Iran's traditional architecture, which has paid specific attention to climate and the designations and constructions have been based on climatic approaches.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".