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Record W7092304239 · doi:10.14288/1.0450476

Petrochemistry of iron-titanium oxide minerals from ultramafic–mafic plutonic rocks : a comparison of magnetite and ilmenite from the Skaergaard intrusion (East Greenland) and magnetite from Alaskan-type intrusions (British Columbia)

2025· article· en· W7092304239 on OpenAlexaboutno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMagnetiteIlmeniteLayered intrusionPetrochemistryFractional crystallization (geology)SilicateMagmaSulfide

Abstract

fetched live from OpenAlex

The Fe-Ti oxide minerals, magnetite (Fe₃O₄) and ilmenite (FeTiO₃), are sensitive recorders of magmatic differentiation and subsolidus modification within ultramafic–mafic intrusions in the Earth’s crust. This study investigates the petrochemistry of oxide minerals from the Eocene Skaergaard layered intrusion of East Greenland, crystallized from a single batch of Fe-rich tholeiitic magma, and four Triassic–Jurassic Alaskan-type intrusions in British Columbia (Hickman, Polaris, Tulameen, Turnagain), representing the products of open-system primitive arc magmatism. Electronprobe microanalysis (EPMA) and laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) were used to determine the major, minor, and trace elemental compositions of oxide minerals. In Skaergaard, oxides are present throughout the magmatic stratigraphy with cumulus oxide appearing in rocks after ~60% crystallization of the magma. Oxidation-induced ilmenite exsolution is common in Skaergaard magnetite, occurring in variable abundances and textures. Systematic trends in compatible (e.g., Cr, Ni) and incompatible (e.g., Zr) elements in the Skaergaard oxides record progressive fractional crystallization of a closed magma reservoir. Textural and chemical evidence from the oxides also indicates the important role of silicate liquid immiscibility during late-stage differentiation. In the Alaskan-type intrusions, magnetite occurs interstitially in various lithologies and locally as massive layers and pods. Magnetite textures primarily reflect magmatic crystallization, later modified by subsolidus oxidation, local sulfide saturation, and fluid interaction. Magnetite compositions in Alaskan-type intrusions capture a range of magma differentiation processes, including fractional crystallization, magma recharge, and segregation of immiscible sulfide liquid. Vanadium systematics in magnetite provide qualitative constraints for the relatively oxidized conditions of these arc magmas compared to the more reduced Skaergaard magma. By comparing Fe-Ti oxide minerals from the Skaergaard and Alaskan-type intrusions, this study demonstrates how oxide petrochemistry reliably records fractionation, redox, and sulfide saturation processes, and underscores the importance of considering the effects of subsolidus re-equilibration (e.g., exsolution, alteration, hydrothermal overprinting) when interpreting primary signatures. The results of this study highlight the value of Fe-Ti oxide minerals as versatile petrogenetic indicators for assessing magma evolution in ultramafic–mafic intrusions across diverse tectonic settings, with broad applicability to oxide-bearing magmatic systems worldwide.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.877
Threshold uncertainty score0.244

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 studies0.0000.000
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 head0.005
GPT teacher head0.161
Teacher spread0.155 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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