Development of a Life Cycle Inventory Dataset for Recycled ConcreteAggregates in the City of Abu Dhabi
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
Environmental life cycle inventory (LCI) datasets are critical to conduct life cycle assessment (LCA) of concrete products. Obtaining these values from local practice is necessary to provide accurate assessment results that reflect real-life scenarios. The datasets for the recycling process of construction and demolition waste into recycled concrete aggregates (RCA) in the city of Abu Dhabi, United Arab Emirates are currently unavailable. Accordingly, this research aims to determine a detailed environmental LCI dataset for the production of RCA in Abu Dhabi. An extensive investigation of the RCA production practice was performed to highlight the input and output of each process unit. The methodology proposed by the International Standards Organization (ISO) to build an LCI (ISO 14040) was adopted. The resulting environmental LCI value for RCA production was determined to be 6.67x10 -4 kg CO2eq per kilogram of produced RCA. Research findings serve as a benchmark to evaluate the environmental sustainability of RCA and RCA-based products in a holistic LCA study, while also enriching the LCI of the city of Abu Dhabi.
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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 | 0.000 | 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