MétaCan
Menu
← Back to cohort
Record W3118273719 · doi:10.22215/etd/2015-10811

Towards Deciphering Metamorphic Reaction Kinetics through Porphyroblastic Textural Analysis in the Bugaboo Contact Aureole (South Eastern British Columbia, Canada)

2015· dissertation· en· W3118273719 on OpenAlexaffabout
Arianne Petley‐Ragan

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsMetamorphic rockMetamorphismGeologyGeochemistryMineralTexture (cosmology)GeothermobarometryMineralogyMetallurgyMaterials science

Abstract

fetched live from OpenAlex

The relative rate of intergranular diffusion and interfacial attachment of chemical species during low--pressure metamorphic reactions is determined through analyzing the texture of porphyroblastic phases in the Bugaboo contact aureole.The observed mineral assemblages are predicted to be in equilibrium from 500--590°C at 1.60 kbar with graphite and a COH--bearing fluid.Porphyroblasts of Bt + And + Crd ± Pl within the outer aureole display syn--kinematic growth textures while the inner aureole consists of pre--kinematic Bt + And + Crd + Kfs porphyroblasts.Chemical homogeneity of Bt + Crd across the aureole, along with similar chemistries for prograde and retrograde Chl, indicate chemical equilibration during retrograde metamorphism.Mineral chemistries therefore do not provide reliable P--T estimates for incipient porphyroblast crystallization, peak metamorphism nor the relative rate between reaction processes.The three-dimensional spatial distribution of Bt + Crd porphyroblast centers and sizes from the outer aureole is obtained using XR--CT to study the effects of metamorphic reaction processes on resultant porphyroblastic texture.Mineral texture is shown to be more reliable over mineral chemistry when deciphering the kinetics of metamorphic processes.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.015
GPT teacher head0.207
Teacher spread0.192 · 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

Citations0
Published2015
Admission routes2
Has abstractyes

Explore more

Same topicGeological and Geochemical Analysis→French-language works237,207→