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Record W4409622966 · doi:10.1007/s00410-025-02219-3

Late-orogenic retrograde zircon growth

2025· article· en· W4409622966 on OpenAlexafffundabout
Sabastien C Dyer, Ivan Edgeworth, Brian Kendall, Chris Yakymchuk

Bibliographic record

VenueContributions to Mineralogy and Petrology · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Ontario
KeywordsZirconGeologyGeochemistryMineral resource classificationPetrology

Abstract

fetched live from OpenAlex

Metamorphic zircon is commonly assumed to record growth during prograde or peak metamorphic conditions. However, numerical models of zircon predict growth during cooling. Linking the relative timing of zircon growth to a metamorphic evolution requires determining the potential zircon forming reactions during protracted metamorphic cycles. Meta-granitoids from the Grenville Province in Ontario contain a high proportion of igneous zircon with metamorphic rims that provide a rare opportunity to study zircon forming reactions in situ; acquiring U-Pb dates while maintaining their petrographic context and textural setting in thin section. Textures and trace element composition of major minerals indicate that metamorphic zircon grew as a result of melt crystallization and breakdown of titanomagnetite. Phase equilibrium modelling shows that these reactions occurred during retrograde metamorphism. Measured U-Pb dates of these retrograde metamorphic zircons are between ca. 1100 and 1070 Ma. This contradicts previous interpretations of regional geology that suggest prograde and peak metamorphism occurred between 1080 and 1050 Ma. These results highlight the need to carefully analyze the metamorphic textures of zircon to provide the necessary context to assess the zircon-forming reaction and its link to the pressure-temperature history of the rock. Without this context, pressure-temperature-time paths determined with zircon dates should be treated with caution and could be incorrectly linked to disparate stages of orogenic cycles. Supplementary Information: The online version contains supplementary material available at 10.1007/s00410-025-02219-3.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.081
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0250.010

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 head0.220
Teacher spread0.215 · 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

Citations3
Published2025
Admission routes3
Has abstractyes

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