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Record W4409955890 · doi:10.1111/jmg.12820

The Distribution of Major and Trace Elements Across a Garnet Population From the Kalak Nappe Complex (Finnmark, Scandinavian Caledonides): Evidence for Size‐Dependent Growth and Compositional Equilibration in the Garnet Zone

2025· article· en· W4409955890 on OpenAlexafffund
Maria Thereza Akemi Guimarães Yogi, Fred Gaidies, Olivier K. A. Heldwein, A. H. N. Rice

Bibliographic record

VenueJournal of Metamorphic Geology · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGeologyNappeGeochemistryPetrologyPaleontologyTectonics

Abstract

fetched live from OpenAlex

ABSTRACT A garnet population from the lower Kalak Nappe Complex in Finnmark (Arctic Norway) was characterized using high‐resolution X‐ray micro‐computed tomography, electron probe micro‐analysis and laser ablation inductively coupled plasma mass spectrometry mapping to assess the extent of compositional equilibration and the controlling crystallization mechanisms during garnet growth. The obtained petrological dataset includes the spatial relationships of garnet crystals and the rock matrix fabrics, as well as the two‐dimensional distributions of major and trace elements in differently‐sized garnet crystals. Our results indicate that the observed elongated shape and clustered distribution of garnet resulted from crystallization in a texturally and chemically differentiated matrix, evidenced by the preferred distribution of biotite porphyroblasts. The major component (Fe, Mn, Mg, Ca) zoning presents systematic variations across differently sized garnet crystals, indicative of progressive nucleation and growth of garnet in equilibrium with an evolving matrix composition at increasing ‐ conditions. Annular features with the same Ca concentration in the analysed garnet crystals are used as markers of the contemporaneous growth of specific segments in crystals of different sizes. The slopes of compositional gradients correlate with crystal size, with smaller crystals showing steeper gradients for equivalent segments in the largest crystals of the rock. The chemical signature and microstructural properties of garnet suggest that growth rates were anisotropic, interface‐controlled and size‐dependent. Since similar concentrations and distribution patterns are observed for Sc, Ti, V, Co, Y and rare earth elements (Gd to Lu) across the differently sized crystals at the positions of the markers defined by the low‐Ca annuli in the crystals, the quasi‐equilibration of these elements at the centimetre scale across the intergranular medium can be inferred. A possible explanation for the observed trace element distribution across the garnet population is a sufficiently slow heating rate during prograde metamorphism, which provided the time required for the efficient transport of trace elements in the intergranular medium during garnet growth. Crystallization simulations using equilibrium thermodynamics indicate garnet growth over an interval of approximately 60°C and 1 kbar until peak conditions of approximately 570°C and 4.5 kbar. Previously published Lu‐Hf garnet‐whole rock ages coupled with our ‐ constraints indicate that heating rates could have been as slow as 1.3°C/Myr, suggesting that interface‐controlled, size‐dependent growth is not restricted to metamorphic garnet that crystallized rapidly and at fast heating rates ( C/Myr), as previously observed in a mica schist from the Barrovian garnet zone of Sikkim. The approach developed in this study provides a quantitative means to estimate the minimum length scales of major and trace element equilibration in the intergranular medium. This information is required to critically assess thermodynamic models of metamorphism and the ages used to constrain metamorphic histories. This approach may be helpful to identify crystal growth mechanisms and trace elements' equilibration length scales in natural samples and across the range of metamorphic conditions and durations. The case study presented here emphasizes the importance of the microstructural and chemical characterization of crystal populations for the study of crystallization kinetics and the extent of equilibrium during prograde metamorphism.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.036
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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)0.0000.000

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 head0.028
GPT teacher head0.275
Teacher spread0.248 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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