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Record W3152586920 · doi:10.22215/etd/2020-14186

The Early Jurassic Metamorphic History of the Yukon-Tanana Terrane of Northwestern British Columbia: Insights from a New Inverse Garnet Fractionation Modelling Technique

2020· dissertation· en· W3152586920 on OpenAlexaboutno aff
Sabastien Dyer

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsTerraneMetamorphismMetamorphic rockGeologyGeochemistrySeismologyTectonics

Abstract

fetched live from OpenAlex

A metamorphic study was conducted on metapelites of the Boundary Ranges and Florence Range metamorphic suites in the Yukon-Tanana terrane of north-western British Columbia. A new inverse garnet fractionation modelling technique was developed as the software program G FRAC. Through the combined application of G_FRAC and THERIAK-DOMINO, and its integration with Lu-Hf garnet-whole rock age dating of select samples, prograde and retrograde P-T points were estimated for Early Jurassic metamorphism of these two suites. The Boundary Ranges Suite experienced two garnet growth events in this period at 201.7±2.8Ma and 192.4±0.4Ma with the later event reaching peak conditions of ∼ 550◦C and 700 to 800MPa. The Florence Range suite experienced a synchronous garnet growth event between 190.9±3.3Ma and 185.3±1.1Ma reaching a peak pressure of ∼1000MPa at ∼620◦C and a peak temperature of 690 to 730 ◦C at 600 to 750MPa before cooling to ∼610◦C and ∼670MPa.

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 score0.086
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
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 head0.016
GPT teacher head0.168
Teacher spread0.152 · 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

Citations5
Published2020
Admission routes1
Has abstractyes

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