Building Construction and Demolition Awareness: Encouraging a Waste Management Mindset in Saudi Arabia
Bibliographic record
Abstract
Abstract Just like any other entity, buildings have a certain life span. Buildings are built with a life expectancy of roughly 80-100 years. Once reaching the end-of-life phase of the life cycle of a building, Demolition plans are drafted out with careful practice taking into consideration safety measures of the execution, extracting hazardous materials, and surveying the building before demolishing and as a result of this process, we are faced with an overwhelming amount of demolition waste that will most likely end up in landfills. This article aims to build awareness to encourage the adoption of future waste management plans in Saudi Arabia. It is divided into two parts. The first part will attempt to give a general review of the Construction and Demolition Waste (CDW), waste management methods, and factors that influence CDW generation. The second part takes a focused economic perspective of CDW.
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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 | 0.000 | 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 | 0.001 | 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 | 0.001 |
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".