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Petrography, geochemistry, and petrogenesis of Li-enriched and Li-poor aplite–pegmatites in the Preissac–Lacorne area, Abitibi subprovince, Canada

2025· article· en· W4417093282 on OpenAlexafffundabout
Hubert Mvondo, Marc Legault, Sabrine Rajhi

Bibliographic record

VenueOre Geology Reviews · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsMinistère des Ressources naturelles et des Forêts (Québec)Université du Québec en Abitibi-Témiscamingue
FundersMinistère de l'Énergie et des Ressources Naturelles
KeywordsPetrogenesisIgneous rockPartial meltingGeochronologyOre genesis

Abstract

fetched live from OpenAlex

The Preissac–Lacorne area, within the Archean Abitibi granite–greenstone belt, hosts numerous Li-enriched and Li-poor aplite–pegmatites. Both suites are strongly peraluminous, calc-alkaline, late- to post-tectonic composite intrusions cutting through the monzogranite–granodiorite suite and associated volcano-sedimentary sequences along the Manneville Fault System (MFS). The Li-enriched aplite–pegmatites, products of at least two distinct mineralizing events, are more highly differentiated (K/Rb = 18) than their Li-poor counterparts (K/Rb = 26) and contain three generations of spodumene formed through magmatic to magmatic–hydrothermal processes. Both suites likely represent multiple generations of aplite–pegmatites, including those derived from the S-type Lamotte monzogranite and those formed by shear zone-controlled anatexis along the MFS. Field observations indicate that shear-related partial melting of metasedimentary and granodioritic rocks generated Li-poor aplite–pegmatites, whereas partial melting of the monzogranite under similar conditions produced Li-enriched varieties. Overall, both suites appear genetically linked to episodic activation of the MFS prior to and during the waning stages of regional deformation.

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)0.001
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 score0.458
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.008
GPT teacher head0.193
Teacher spread0.185 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

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