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Record W4416876916 · doi:10.1139/facets-2025-0148

Deposits of rare earth elements in Canada

2025· article· en· W4416876916 on OpenAlexvenueaboutno aff
J. Dostal

Bibliographic record

VenueFACETS · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeochemistry and Elemental Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCarbonatitePeralkaline rockNephelineSilicateNepheline syeniteProterozoicMineralization (soil science)Rare earth

Abstract

fetched live from OpenAlex

Canada has large reserves of rare earth elements (REEs) (estimated to be ∼15.2 Mt of REE oxides). It hosts several advanced exploration projects related either to alkaline (peralkaline) silicate complexes or to carbonatites. Alkaline silicate complexes, which host REE deposits, are composed of rocks ranging from nepheline syenites to peralkaline granites and trachytes and are of Proterozoic age. Advanced projects (Feasibility or Preliminary economic assessment stage) include Nechalacho (Northwest Territories), Strange Lake, Crater Lake, Kipawa (all in Quebec), and Foxtrot (Labrador). The alkaline silicate mineralization type is one of the most important sources of heavy REEs including Y. Mineralized carbonatites are the main source of light REE. Advanced projects include Ashram/Eldor in Quebec and Wicheeda in British Columbia. The main REE minerals in both types of these deposits are fluorocarbonates (bastnaesite), phosphates (monazite, apatite) and in silicate rocks also silicates (eudialyte). These deposits may contain significant concentrations of Zr (zircon), Nb (columbite, fergusonite, pyrochlore), and Th–U (monazite, uraninite, thorite). In addition, there are several other less advanced projects (with resource estimate only). They include carbonatite of Montviel and Saint-Honoré in Quebec, Prairie Lake, and Clay-Howells in Ontario as well as alkaline silicate project at Red Wine Mountains in Labrador. It is anticipated that Canada would be a global leader in the production of REEs.

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 score0.117
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 head0.179
Teacher spread0.175 · 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 routes2
Has abstractyes

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