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Record W2915606738 · doi:10.1134/s1075701518070024

Classification of Granitic Pegmatites and Pegmatite-Bearing Granitic Systems

2018· article· en· W2915606738 on OpenAlexaboutno aff
С. М. Бескин, Yu. B. Marin

Bibliographic record

VenueGeology of Ore Deposits · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPegmatiteGeologyGeochemistryPlutonDikeAlbiteTourmalineMassifSpodumenePaleontologyTectonicsQuartzChemistry

Abstract

fetched live from OpenAlex

The paper discusses the concepts of pegmatitic rocks, pegmatite and pegmatoid bodies, and classification of granitic pegmatites and their relationships with various types of granite. Six types of pegmatitebearing granitic systems (PGS) are proposed: (I–PGS) granitic series with normal alkalinity in the form of central-type plutons with crystal-bearing chamber pegmatites; rare-metal Li–F granite and related pegmatoids, which are hosted in sequences of virtually unmetamorphosed rocks and formed at low pressure with no evidence of high alkalinity of granites (e.g., Zhanchivlan, Zuun-Bayan, and Gorikho in Mongolia; Adun- Chelon and Sokhondo-Ugdyri in the Transbaikal region); (II–PGS) granitic series with elevated alkalinity in the form of central-type plutons with crystal-bearing chamber pegmatites occasionally with indications of Y–REE mineralization; rare-metal, including REE, alkali granites and related pegmatoids hosted in almost unmetamorphosed sequences, where they formed under low pressure (e.g., Aqzhailau, Zerenda, Bayan-Aul, and Kent in Kazakhstan; Korosten in Ukraine; Pikes Peak and Mount Princeton in the United States; Ulkan and Ingur in Russia; Strange Lake in Canada; and Khalzaan-Buregte and Khan-Bogdo in Mongolia); (III–PGS) granitic series with lower alkalinity expressed in fields of dikes, layers, and stocks with rare-metal-bearing pegmatites; rare-metal albite and spodumene–albite granites, related pegmatoids, and complex raremetal pegmatites hosted in sequences of rocks metamorphosed under greenschist and amphibolite facies conditions, which correspond to pegmatite formation under medium pressure (e.g., Koktogai in China; Bernick Lake in Canada; Bikita in Zimbabwe; Karibib in Namibia; and Vishnyakovsky in Russia); (IV–PGS) granite series with elevated alkalinity represented by dike fields, layers, stocks with rare-metal, including REE pegmatites, which form under medium pressure in host rocks metamorphosed under epidote-amphibolite facies conditions (e.g., the Ilmeny Mountains in the Urals; the Western Keivy on the Kola Peninsula; and Sludyanka- 2 and Abchad in the Olkhon region); (V–PGS) low-alkaline granitic series expressed in fields of dikes, layers, stocks of mica-bearing and muscovite–rare-metal pegmatites formed under high pressure in zones of the kyanite–sillimanite-type amphibolite-facies metamorphism (e.g., in northern Karelia, Eastern Siberia, etc.); (VI–PGS) synorogenic granites and migmatites of potassium series with elevated alkalinity are expressed as dike fields, layers, stocks with high-pressure ceramic and uranium–REE pegmatites hosted in rock sequences metamorphosed under amphibolite- and granulite-facies conditions (e.g., northern Ladoga region, Bug River Basin, etc.).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.472

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.200
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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations10
Published2018
Admission routes1
Has abstractyes

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