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Record W2274467791

Subsurface Contaminant Remediation and Cost/Benefit Sharing to Redevelop a Naphtha Contaminated Brownfield

2008· article· en· W2274467791 on OpenAlexaboutno aff
L Wang, Lin Fang, KW Hipel, P.R. Gray

Bibliographic record

VenueProceedings of Water Down Under 2008 · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsnot available
Fundersnot available
KeywordsBrownfieldRedevelopmentEnvironmental remediationEnvironmental planningDemolitionBusinessWaste managementEngineeringEnvironmental scienceCivil engineeringContamination
DOInot available

Abstract

fetched live from OpenAlex

An equitable approach for sharing costs and benefits among stakeholders in the redevelopment of a brownfield site involving groundwater contamination is presented. Specifically, a remediation and brownfield redevelopment project at the former Kaufman Footwear manufacturing plant located in Kitchener, Ontario, Canada, is described and analysed. Sound management has produced a cooperative arrangement among the City of Kitchener, developer Kimshow Holdings and landowner Ernst and Young. An environmental remediation program to remove naphtha and redevelop the site commenced in December 2002. A risk assessment based management approach is adopted to determine the subsurface contaminant remediation goals, designs and implementation strategies. Equitable allocation of the remediation and redevelopment costs and benefits associated with the stakeholders is a key concern to bring the stakeholders together and successfully carry out the project. A cooperative game theoretic approach is developed for analysing the cost and benefit sharing problem among the stakeholders involved in the Kaufman Naphtha remediation project.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.034
GPT teacher head0.274
Teacher spread0.240 · 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.

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

Citations1
Published2008
Admission routes1
Has abstractyes

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