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Record W3000670221 · doi:10.1002/jqs.3184

Crossing new frontiers: extending tephrochronology as a global geoscientific research tool

2020· article· en· W3000670221 on OpenAlex
Peter M Abbott, Britta J.L. Jensen, David J. Lowe, Takehiko Suzuki, Daniel Vereş

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Quaternary Science · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAtmospheric researchLibrary scienceGeographyMeteorology

Abstract

fetched live from OpenAlex

Tephrochronology is a unique stratigraphic tool for linking, dating, and synchronising geological, palaeoenvironmental, or archaeological sequences and events (Lowe, 2011; Alloway et al., 2013). It relies on the identification and tracing of tephra or cryptotephra horizons spatially between various depositional sequences. These horizons can provide stratigraphic event layers (tephrostratigraphy) and, when dated, isochronous age markers — since most tephra are deposited on a scale of days to weeks — that can be transferred from site to site (tephrochronology) (Lane et al., 2017b). The correlation of horizons between different sequences is reliant on matching the physical characteristics, mineralogical assemblages, and geochemical compositions of minerals and/or glass shards in tephra deposits using a range of analytical methods and visual and statistical approaches (e.g. Lowe et al., 2017). Correlating tephra deposits back to their volcanic source allows tephrochronological studies to provide information on the eruption frequency and geochemical evolution of volcanic regions and individual volcanoes.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.004
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.089
GPT teacher head0.362
Teacher spread0.273 · 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