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Record W392857191 · doi:10.1520/stp14375s

On the Use of Sand Washing Slimes for Waste Containment

2000· book-chapter· en· W392857191 on OpenAlexaff
Abdelmalek Bouazza, Jayantha Kodikara, Richard Parker

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicForest Biomass Utilization and Management
Canadian institutionsGolder Associates (Canada)
Fundersnot available
KeywordsTailingsContainment (computer programming)Waste managementEnvironmental scienceMining engineeringGeologyMaterials scienceMetallurgyEngineeringComputer science

Abstract

fetched live from OpenAlex

Sand mining has long been practiced in the southeast sand belt of Melbourne o obtain clean sand for use in construction. The material remaining after the sand extraction, which generally exists in a sludge or slurry form, is commonly referred to as slimes. Since the late 1960s most of the abandoned sand mining pits have been used for waste disposal. Due to the unique hydrogeology of the region, the use of slime cut-off walls has become an essential consideration in the design of waste containment facilitiesin abandoned sand mining pits. One technique to isolate the landfills from adjoining shallow aquifers is to construct cut-off walls using hydraulically placed slimes from sand mining (fines washed from the sand). This involves placing wet sand washing slimes mixed with clean fill to achieve a low permeability slurry curtain around the landfill walls. Another alternative successfully used is the use of a sidewall liner in which there is a combination of compacted refuse bales and slimes. This paper presents and discusses various facets linked to this innovative method for using slimes in waste containment systems.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.875
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.201
Teacher spread0.162 · 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
GenreOther

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
Published2000
Admission routes1
Has abstractyes

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