Barriers to the Diffusion and Adoption of Green Buildings in Saudi Arabia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>Many countries around the globe have recently pursued sustainability. The public and governments are demanding sustainability due to worldwide environmental disasters caused by pollution and man-made activities that impact the ecological system. Green buildings represent a significant component of sustainability, as their construction is intended to reduce natural resources consumption through energy and water conservation. Saudi Arabia is one of the world’s richest countries, but its number of certified green buildings is notably low. In addition, all of these buildings are certified by the US Green Building Council LEED rating system and not by a national organization. It seems that numerous barriers exist, slowing the development and diffusion of green buildings in Saudi Arabia. Through a systematic qualitative research approach, this research aims to explore barriers to the diffusion and adoption of green buildings in Saudi Arabia, which will facilitate the development of green buildings in Saudi Arabia. This research concludes the identification of 14 green building barriers, with lack of skilled personal and unsupportive government policies and regulations being the most significant barriers.</p>
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it