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Record W3011017644 · doi:10.25560/73078

Temperatures and composition of cratonic lithosphere from seismic velocity and heat flow modelling

2018· dissertation· en· W3011017644 on OpenAlexaboutno aff
Thomas Eeken

Bibliographic record

VenueSpiral (Imperial College London) · 2018
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsLithosphereGeologyHeat flowComposition (language)Seismic velocityFlow (mathematics)GeophysicsPetrologySeismologyMechanicsGeographyThermalMeteorologyPhysicsTectonics

Abstract

fetched live from OpenAlex

The cause of the stability of cratons, the old cores of continents, is still an enigma. Seismic studies have found that velocities within the cratonic lithosphere are quite variable laterally and in depth. Understanding the nature of this variability may provide information on how cratons are formed and stabilised. In this thesis, I perform a search of plausible thermal and compositional structures of cratonic lithosphere based on heat flow and xenolith constraints to model (using thermodynamic methods), seismic velocities and surface-wave dispersion curves for five different cratons. Sensitivity analyses show that the reasonable assumption of steady-state conductive temperature structure does not allow for sufficient variations in the thermal gradient to match seismic observations and varying the degree of depletion of compositions in the dunite-peridotite range only effects small changes in seismic velocity. We show that for the Kaapvaal, Yilgarn, Slave and Finland cratons, introducing metasomatic minerals (with up to 1 wt% water or 5 wt% carbonate) in the upper parts of the mantle lithosphere, significantly improves the fit to surface wave dispersion curves. The amount of metasomatic material required correlates with increased evidence for magmatic activity in the form of kimberlites. To match 3D seismic heterogeneity in the Eastern Canadian Shield, we require significant lateral variations in the amount of metasomatic minerals, with less modification of Archean Superior than Proterozoic Grenville lithosphere. Larger amounts of metasomatic minerals appear to correlate with geological evidence for magmatic activity, either arc-related during formation, or hotspot related at a later date. Significant concentrations of metasomatic minerals have been previously proposed to explain enigmatic mid-lithospheric discontinuities in old lithosphere. In addition, such modification, if pervasive enough to affect surface wave dispersion observations, could contribute to stable density stratification of the cratonic lithosphere.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.684
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.197
Teacher spread0.189 · 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 teacher head, not a consensus.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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