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Record W2154292372 · doi:10.1029/2011gc003659

The origin of Triassic/Jurassic kimberlite magmatism, Canada: Two mantle sources revealed from the Sr‐Nd isotopic composition of groundmass perovskite

2011· article· en· W2154292372 on OpenAlexaffabout
Shannon Zurevinski, Larry M. Heaman, Robert A. Creaser

Bibliographic record

VenueGeochemistry Geophysics Geosystems · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsLakehead UniversityUniversity of Alberta
Fundersnot available
KeywordsGeologyMagmatismKimberliteMantle (geology)GeochemistryPaleontologyEarth scienceTectonics

Abstract

fetched live from OpenAlex

The crystallization ages and the Sr and Nd isotopic compositions of groundmass perovskite from a well‐established, SE trending, Triassic‐Jurassic corridor of kimberlite magmatism in central and eastern North America were determined to investigate the origin of this magmatism. The results obtained from kimberlite fields located along this corridor are interpreted to indicate that at least two distinct mantle sources contributed to this magmatism. The most primitive Rankin Inlet and Timiskaming kimberlites have a relatively unradiogenic strontium isotopic signature (0.7032–0.7036), interpreted to be derived from recycled and metasomatized oceanic lithosphere in the deep mantle. In contrast, the Attawapiskat and Kirkland Lake kimberlites have CHUR‐like (Chondritic Uniform Reservoir) signatures (0.7040–0.7042) interpreted to have an origin in the asthenosphere. The progressive decrease in the age of magmatism from the Triassic Rankin Inlet kimberlites to the Miocene Great Meteor seamount, combined with the similarity in the isotopic composition of these diverse magmas along the proposed >3000 km long hot spot track, provides strong evidence in support of a common mantle plume origin for both the continental and oceanic components.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.123
Threshold uncertainty score0.247

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.014
GPT teacher head0.183
Teacher spread0.169 · 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 source (direct Gemma or distilled Codex), 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

Citations35
Published2011
Admission routes2
Has abstractyes

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