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Tailings decommissioning options at Mount Nansen, Yukon, Canada ©

2010· article· en· W2896895856 on OpenAlexafffundabout
Y. T. John Kwong

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTailings Management and Properties
Canadian institutionsNatural Resources Canada
FundersNatural Resources Canada
KeywordsTailingsPermafrostGeologyMining engineeringTailings damEnvironmental scienceOceanography

Abstract

fetched live from OpenAlex

A total of 250,000 t of tailings enriched in arsenic and cyanide impounded behind an earth dam of suspect physical integrity constitute the greatest environmental liability at an abandoned gold mine on Mount Nansen, Yukon Territory, Canada. The primary cause of dam deterioration can be traced back to improper initial tailings placement, resulting in gradual melting of frozen ground into which the dam was keyed. Field investigation and sampling revealed that permafrost still underlay most of the impoundment. Subsequent comprehensive mineralogical and geochemical characterisation of the collected samples indicated that the tailings remained relatively stable chemically with low potential for metal leaching. Given that cyanide and related compounds continued to degrade naturally, rendering the tailings increasingly benign with time, and that the containment dam is unlikely to collapse catastrophically except perhaps under extreme seismic stress, it is suggested that the impounded tailings need not be relocated for permanent site decommissioning. A viable long-term alternative could involve downstream reinforcement of the dam structure, dewatering the existing shallow pond and covering the tailings with a layer of benign waste rock to arrest erosion and prevent direct access by roaming animals.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
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 head0.006
GPT teacher head0.176
Teacher spread0.170 · 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
Published2010
Admission routes3
Has abstractyes

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