WHAT AFFECTS IMPLEMENTATION OF GREEN BUILDINGS? AN EMPIRICAL STUDY IN HONG KONG
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
This paper examines the factors affecting the implementation of green buildings for the local construction industry. Questionnaire surveys and structural interviews were conducted to investigate the economical and social factors in the implementation of green buildings. From the survey results, the industry strongly believes that green building implementation is environment-friendly and can improve social values to the consumers. However, material costs, construction and transportation for green materials and green building features are more expensive than those for the conventional buildings. Four major factors affecting the existing limited implementation of green buildings were also discussed. Recommendations to improve the implementation of green buildings were also explored. This study can bring insights locally and around the world on how green buildings can be implemented to achieve environment-friendly, long-term cost saving and being recognized by the society and the consumers to reduce difficulties and burden encountered in the implementation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| 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