Consumer Behavior towards Green Building: A Study in Abu Dhabi
Bibliographic record
Abstract
Green energy is a concept that has developed dramatically in recent years, for both professionals and regular consumers. One of the most important applications of green energy is ‘Green Buildings’. This paper discusses Green Buildings from the perspective of the local consumers of Abu Dhabi city. Various elements of consumer preferences towards green buildings are evaluated in order to gauge their marketability in Abu Dhabi real estate market and the level of competition in the area. One of the research main themes is to evaluate existing Green Building support and recommending future anticipated support to boost the growth of the green construction industry. Primary data was collected through face to face interviews using a convenience sample of sixty respondents. This study has shown that Green Buildings are marketable products with their own marketable features; marketing tools sometimes are different from the tools used to market conventional buildings. Taken together, the study recommends stakeholders to invest more in green construction that will ultimately lead to solid growth in the industry of Green Buildings.
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How this classification was reachedexpand
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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".