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Record W3021111881 · doi:10.1016/j.qsa.2020.100004

Is there a climatic control on Icelandic volcanism?

2020· article· en· W3021111881 on OpenAlexaff
Claire L. Cooper, Ivan P. Savov, Henry Patton, Alun Hubbard, Ruza Ivanovic, Jonathan L. Carrivick, Graeme T. Swindles

Bibliographic record

VenueQuaternary Science Advances · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsCarleton University
FundersNatural Environment Research CouncilUniversity of LeedsSight Research UK
KeywordsTephraDeglaciationGeologyVolcanoGlacial periodPhysical geographyIce sheetVolcanismHoloceneGreenland ice sheetIcelandicTephrochronologyEarth scienceOceanographyPaleontologyClimatologyGeographyTectonics

Abstract

fetched live from OpenAlex

The evidence for periods of increased volcanic activity following deglaciation, such as following ice sheet retreat after the Last Glacial Maximum, has been examined in several formerly glaciated areas, including Iceland, Alaska, and the Andean Southern Volcanic Zone. Here we present new evidence supporting the theory that during episodes of cooling in the Holocene, Icelandic volcanic activity decreased. By examining proximal and distal tephra records from Iceland spanning the last 12,500 years, we link two observed tephra minima to documented periods of climatic cooling and glacial advance, at 8.3 to 8 and 5.2 to 4.9 cal kyr BP. We simulate these periods in atmosphere-ocean and ice sheet models to assess the potential validity of the postglacial ‘unloading effect’ on Icelandic volcanic systems. We conclude that an increase in glacial cover may have decreased shallow magma ascent rates, thus limiting eruption potential and producing apparent quiescent periods in proximal and distal tephra records. However, several major uncertainties remain regarding the theory, including geographical and temporal preservation biases and the importance of any unloading effects against other factors, and these will require more prolonged investigation in future research.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
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 head0.026
GPT teacher head0.277
Teacher spread0.251 · 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

Citations6
Published2020
Admission routes1
Has abstractyes

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