Economics of Green Design and Environmental Sustainability
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
In spite of the huge environmental and energy problem in Nigeria, designers have not seen the need for a shift from their traditional method of designing buildings. The purpose of this paper is to highlight the need for green and sustainable design in Nigeria using Lagos as a case study with focus on the effects of green design on environmental sustainability including its economic implication and occupiers preferences with respect to building components and services to ascertain the level of their appreciation of green elements. Questionnaires were distributed to various groups which include; residents (households) at Dolphin and Abraham Adesanya estates Lagos and also 1040 households in 8 metropolitan local government areas of Lagos to determine the extent of power (electricity) problem and the use of private generators in the city.Findings from the study show that flooding and loss of property arise from lack of green and sustainable design. It was also found out that due to poor electricity supply, households resort to informal power supply which contributes to global warming.The paper recommends that there is need for a holistic adoption of green design as lack of it has been observed to be adverse to efficiency in buildings and environmental sustainability in Lagos.
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 | 0.002 | 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 it