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Record W3000730380 · doi:10.22215/etd/2016-11560

Quantifying the Pressure, Temperature, and Timing of Metamorphism in the Montresor Belt, Nunavut, Canada

2016· dissertation· en· W3000730380 on OpenAlexaffabout
Carolyn Dziawa

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsMonaziteMetamorphismGeologyGeochronologyGeochemistryMetamorphic rockGeothermal gradientClockwisePartial meltingFold (higher-order function)PaleontologyMantle (geology)Zircon

Abstract

fetched live from OpenAlex

P-T-t conditions are determined for the Montresor belt (Rae Province, Nunavut) using modern thermodynamic modeling and in-situ U-Th-Pb monazite geochronology.Phase equilibrium modeling yields peak P-T estimates of 355 -455°C and <4200 bar for the upper Montresor belt and 500 -580°C and <4000 bar for the lower Montresor belt, with a high geothermal gradient of ca.57°C/km during metamorphism.Forward modeling of garnet crystallization suggests growth along a clockwise, nearly isobaric P-T path from ca. 539 -544°C and 3090 -3140 bar.Chemical age dating of metamorphic monazite indicates peak P-T conditions occurred at ca. 1837 ± 8.6 Ma.Altered monazite domains suggest a fluid-mediated alteration event during cooling at ca. 1792 ± 10.1 Ma, associated with the emplacement of dykes into the lower Montresor group.These fluids increased the bulk rock K and caused modification to garnet growth zoning and mechanical fracturing of garnet.First and foremost I would like to thank my supervisors Fred Gaidies and John Percival for all the support and guidance over the completion of this project.It was a pleasure to work with both of you over the past two years.Thanks to Victoria Tschirhardt and Angela Ford who were great company during fieldwork and the endless search for garnet, and to everyone at the Geological Survey of Canada who made this project possible.Thank you to Mike Jercinovic and Mike Williams at the University of Massachusetts for allowing me to use your microprobe for the monazite geochronology and for all the discussions about the results.To Peter Jones for the hours spent on the garnet EPMA traverses and mineral ID.Thanks to Glenn Poirier at the University of Ottawa for the garnet compositional maps, to Pat Hunt at the GSC for the time spent locating the smallest of monazite grains, and to Tim Mount for the help in preparing the garnet central sections.Special thanks to my office mates Freya

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.183

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.018
GPT teacher head0.213
Teacher spread0.195 · 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
Published2016
Admission routes2
Has abstractyes

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