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Record W2984800934 · doi:10.22215/etd/2013-10718

Unravelling the P-T-t History of Grenvillian Metamorphism in the Mazinaw Domain, Southeastern Ontario: Insights from Phase Equilibria Modeling and Geospeedometry

2013· dissertation· en· W2984800934 on OpenAlexaffabout
Travis McCarron

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsMonaziteMetamorphismGeochronologyGeologyGeochemistryPopulationAllanite

Abstract

fetched live from OpenAlex

P-T-t conditions of Grenvillian metamorphism were derived from mineral assemblages, growth zoning in garnet and monazite geochronology from metapelites of the Flinton Group in southeastern Ontario.Initial conditions of garnet growth determined through isopleth thermobarometry yielded 3.7 kbar and 515°C and geothermal gradients of 40°C km -1 .Phase equilibria modeling revealed an increase from 615 to 715°C and 5.6 to 7.9 kbar across the study area.Forward modeling of growth zoning in a population of garnet porphyroblasts with the THERIA_G software revealed a clockwise path over the P-T interval 3.7 to 5.9 kbar and 513 to 615°C.Diffusional relaxation of growth zoning in relatively small porphyroblasts of the population provided an average heating rate of 2°C Ma -1 .In situ U-Pb monazite geochronology revealed a major age population at 977 ± 4 Ma, interpreted to represent monazite growth at the expense of allanite near the peak conditions of garnet growth and 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 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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.149

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 communication0.0010.000
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 head0.022
GPT teacher head0.205
Teacher spread0.183 · 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 designSimulation or modeling
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

Citations4
Published2013
Admission routes2
Has abstractyes

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