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Record W2093676946 · doi:10.1144/1467-787302-027

Impact of toxic metals and metalloids from the Caribou gold-mining areas in Nova Scotia, Canada

2002· article· en· W2093676946 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGeochemistry Exploration Environment Analysis · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsNova scotiaMetalloidGold miningEnvironmental scienceHeavy metalsEnvironmental protectionEnvironmental chemistryGeographyArchaeologyMetallurgyChemistryMetalMaterials science

Abstract

fetched live from OpenAlex

The Caribou gold-mining areas in Nova Scotia, Canada were in full production from 1869 to 1927. Abandoned waste rocks and fine-grained tailings from Hg-amalgamation processes have weathered into Long Lake, part of the Moose River system. Metal burdens in tailings and lake sediments, as well as the biological community structure above and below the processing site, were investigated. Surface tailings were found to contain (in μ g g −1 ): As (5000–28 000), Cd (0.1–0.6), Cu (6–37), Mn (50–600), Ni (600–2000), Hg (0.3–0.7), Pb (70–120), Tl (0.03–0.06), V (3–10) and Zn (20–100). Lake sediments below the tailing field were found to be highly enriched with As, Ni, Pb and, to a lesser extent, Hg, Cu and Mn. Air–surface exchange from tailings (preliminary results, 48 h cycle) exhibit Hg-flux rates from 20 to >100 times greater than those of natural soils in Nova Scotia. Stream water and sediments below the mine were toxic to the benthic community.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.184
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.000

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 head0.020
GPT teacher head0.223
Teacher spread0.203 · 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