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Record W4417515649 · doi:10.1139/facets-2025-0063

The environmental mobility of critical elements in mine waste: rare earth elements, antimony, tungsten, and cobalt

2025· article· en· W4417515649 on OpenAlexafffundvenueabout
Heather E. Jamieson, Michael B. Parsons, Sean Des Roches, Adriana Taylor, Colin Purdy, Anežka Borčinová Radková, Brent Kazamel, Melissa Amanda Hope Turcotte, Anna L. Harrison, Matthew I. Leybourne

Bibliographic record

VenueFACETS · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeochemistry and Elemental Analysis
Canadian institutionsGeological Survey of CanadaNatural Resources CanadaQueen's University
FundersCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
KeywordsAntimonyCobaltWeatheringSulfide mineralsRare earthSulfideMineralLeaching (pedology)

Abstract

fetched live from OpenAlex

Very little is known about the environmental mobility of many critical metals, particularly how they are leached from primary host minerals, mobilized under different conditions of pH and redox, and potentially sequestered in secondary phases. We have conducted field and laboratory studies of weathered wastes from operating or formerly operating Canadian mines to study mineral-water interaction of rare earth elements (REEs), antimony (Sb), tungsten (W), and cobalt (Co). For REE, concentrations are expected to increase substantially as pH decreases in water associated with mining activity. Antimony is mobile over a range of pH values but can be sequestered in secondary minerals, although their stability is variable. Tungsten is relatively mobile at alkaline pH values and is commonly sorbed to Fe-oxyhydroxide minerals at lower pH. Cobalt is leached relatively easily from mixtures of primary sulfide minerals and secondary weathering products in the presence of near-neutral water. In Canada, no mine effluent regulations currently exist for any of these elements and, for REE and W, there are no guidelines for either drinking water or ecological protection. Expertise from geochemists and toxicologists needs to be combined to guide future mine waste management at critical mineral mines.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
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 head0.005
GPT teacher head0.217
Teacher spread0.211 · 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 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
Published2025
Admission routes4
Has abstractyes

Explore more

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