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Record W2321931153 · doi:10.1061/9780784412121.437

A Quantitative Sustainability Indicator System for Pile Foundations

2012· article· en· W2321931153 on OpenAlexaff
Aditi Misra, Dipanjan Basu

Bibliographic record

VenueGeoCongress 2012 · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainability and Ecological Systems Analysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSustainabilityPileFoundation (evidence)Resource (disambiguation)Civil engineeringPosition (finance)EngineeringResource consumptionSustainable developmentComputer scienceConstruction engineeringEnvironmental resource managementBusinessEnvironmental scienceGeotechnical engineering

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.021
GPT teacher head0.293
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2012
Admission routes1
Has abstractyes

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Same venueGeoCongress 2012Same topicSustainability and Ecological Systems AnalysisFrench-language works237,207