Assessment and Adaptation of an Appropriate Green Building Rating System for Nigeria.
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
The practices used in rating green buildings are constantly evolving and differ from place to place; there are fundamental principles that persist from which the rating is derived e.g. siting and structure, design, energy, water and material efficiency, indoor environmental quality, enhancement, operations and maintenance optimization, and waste and toxic reduction. The essence of green building is an optimization of one or more of these principles. This paper presents a comparative analysis of seven well-known sustainable rating systems – BREEAM, CASBEE, GREEN GLOBES, GREEN STAR, HK-BEAM, IGBC Green Homes and LEED by the perceptions and opinions of stakeholders in Nigeria certified in green building rating systems in an attempt to select and adapt a green building rating system for Nigeria. Various aspects of these systems were scrutinized and analyzed in order to find out the best option for the Nigerian built environment. Based on the findings of this study the green building rating systems LEED which is the dominant system in the United States and Canada is appropriate for Nigeria because it helps costumers determine environmental performance, with strong base, large investments and proven advantages scored the highest with 80 points out of 100 points. Keywords: architecture , built environment, green building rating system, Nigeria green building council, sustainability,
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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 | 0.001 | 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