A Quantitative Sustainability Indicator System for Pile Foundations
Why this work is in the frame
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Bibliographic record
Abstract
In recent times, a concerted effort is noted within the civil engineering industry in delivering built facilities that are eco-friendly and sustainable. Geotechnical construction, being resource intensive and by virtue of its early position in civil engineering projects, has a great potential to influence the sustainability of such projects. In this paper, a quantitative framework is proposed for assessing the sustainability of geotechnical projects based on multicriteria analysis (MCA). The MCA considers optimizing resource consumption, environmental impact and socio-economic benefits of a project over its entire life span. The developed framework is applied to a case study involving pile foundations and it is shown that the framework can be successfully used as a decision aid to choose a sustainable pile foundation type among different technically feasible alternatives.
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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 | 0.001 |
| 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) | 0.003 | 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 it