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Record W2499668027

Stabilisation and solidification of contaminated soil and waste: Practice

2015· book· en· W2499668027 on OpenAlexaboutno aff
Edward Bates, Colin D. Hills

Bibliographic record

VenueGreenwich Academic Literature Archive (University of Greenwich) · 2015
Typebook
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsnot available
Fundersnot available
KeywordsUnderpinningRemedial actionWaste managementContaminated landPollution preventionSoil contaminationHazardous wasteEngineeringEnvironmental scienceClosure (psychology)Environmental planningQuality assuranceContaminationCementitiousPollutionRemedial educationEnvironmental remediationCivil engineeringOperations managementCementSoil waterPolitical scienceArchaeologyGeography
DOInot available

Abstract

fetched live from OpenAlex

Stabilisation/Solidification of Contaminated Soil and Waste comprises 2 handbooks designed to provide students, practitioners, site owners, and regulators with authoritative guidance to the science underpinning this versatile remedial technology, and how it is applied in real-world situations.
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\nStabilisation/Solidification (S/S) uses readily available cementitious binders to turn contaminated soil and waste into a rock-like product that reduces the risk to public health and the environment. S/S has been employed at hundreds of sites in the USA, Canada, and Europe to improve the physical and/or chemical properties of contaminated soil and waste to enable development to take place or to safely manage a source of pollution.
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\nPractice: describes how S/S is designed and implemented, including discussions on risk reduction, the development of performance specifications, available binders, treatability studies, in-situ and ex-situ equipment/operations, quality assurance, capping, site closure including long term monitoring strategies. The extensive appendices include a list of over 200 completed S/S remediations and over 40 case studies.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.517
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.211
Teacher spread0.199 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2015
Admission routes1
Has abstractyes

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Same venueGreenwich Academic Literature Archive (University of Greenwich)Same topicConcrete and Cement Materials ResearchFrench-language works237,207