Feasibility and Occupants’ Perception of Double Skin Façade for Historical Buildings in Kuwait
Bibliographic record
Abstract
The paper focuses on diagnosing the Double Skin Facade (DSF) of the main Kuwait Municipality building complex based on occupants’ perception of different historical and environmental preferences. The case study building complex has a remarkable façade that represents the modern architectural and democratic movement of Kuwait. Unfortunately, due to improper maintenance and operation, the significance and benefits of the DSF in particular have not been utilized in this complex. The objective of this paper is to diagnose the DSF benefits of this building envelope and discuss the feasibility of renovation to improve its sustainable use and operation. Such sustainability includes daylighting, thermal comfort, indoor air quality (IAQ), and acoustic performances. To reach this objective, the study will be carried out using quantitative and qualitative research methods, such as site visits, interviews, questionnaire and literature review. It is found that responses of occupants are positive on the advantages and rehabilitations of the DSF of the complex. And based on the findings of this study, it is also believed by the authors that the preservation of its DSF is a more sustainable choice in this green architectural era. This is so due to its great occupants’ performance expectations and energy savings opportunities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".