Residential Construction Sustainability in the UK and Prospects of Knowledge Transfer to Kazakhstan
Bibliographic record
Abstract
<p>This paper aimed to investigate the up-to-date levels of sustainability in the UK construction with special interest to sustainable housing. It also aims to examine the justification behind construction and housing sustainability, and to look at the practicality of transferring current expertise within the UK as well as to an emerging Central Asian country such as Kazakhstan. A synergy of case studies, survey and numerical simulation research methodologies were applied to undertake a wide-spectrum analysis of the topic. Regardless of difficulties related to applying sustainable practices the considered housing developments are found to be satisfactory in terms of environmental and socio-economic effects. Technical evaluation of the case studies compared to standard housing parameters has shown encouraging outcomes and confirmed the claimed energy and water efficiency. Findings of the survey indicated that construction companies of the UK and Kazakhstan are at different stages of application of sustainability measures. It was also established that companies and public are mainly optimistic about sustainability if suitable economical and legal conditions are ensured. Finally, numerical simulations have shown that selected sustainability measures made the studied housing projects competitive on the sustainability market. </p>
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".