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Record W7081998409 · doi:10.1016/j.jop.2025.100291

Cryo-paleosols and paleoclimate/cosmic archives in the Dry Valleys, Antarctica

2025· article· en· W7081998409 on OpenAlexafffund

Bibliographic record

VenueJournal of Palaeogeography · 2025
Typearticle
Languageen
FieldComputer Science
TopicImage Processing and 3D Reconstruction
Canadian institutionsThornhill Medical (Canada)York University
FundersNatural Sciences and Engineering Research Council of CanadaYork UniversityUniversity of Oregon
KeywordsWeatheringGeologic recordClastic rockSedimentClimate changeHorizonPaleoclimatologySedimentology

Abstract

fetched live from OpenAlex

Perhaps the most obscure and overlooked paleoenvironmental resource in Antarctica is the cryosol-paleosol record of the Dry Valleys, and the cryo-stratigraphy of the Palmer Peninsula, East Antarctica, and the islands. The Scientific Committee on Antarctic Research (SCAR) Committee in 2014 outlined a forward look for new initiatives and of the six priorities, the ‘Reveal Antarctica’s History’ focused on ‘rock and sediment records to know whether past climate states are fated to be repeated’. Of all the records available to us across the continent, the thinnest and most obscure, are found within cryo-paleosols and accompanying clastic rinds, the latter often embedded in pavements capping these ancient sentinels. An ancient pedostratigraphy, extending horizon group-to-horizon group reported here, offers unexpectedly strong post-∼15 Ma weathering and salt accumulation, interrupted by a recent airburst, presumably the BM (black mat) of 12.8 ka. Evidence for a cosmic event comes in the form of melted/welded, air-quenched, dendritic, Pt (Ir) coated, organic-fused grains and highly sheaved and plate-uplifted mineral surfaces. As shown here, Antarctic paleosols, housing both oxidized and Na-encrusted beds, shed light not only on paleoclimatic/ecologic histories that might be repeated, but this one cometary occurrence, reported for the first time in any Dry Valley paleosols, may well occur again, the next time with enough energy to destroy Earth’s atmosphere.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.187
Threshold uncertainty score0.293

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.230
Teacher spread0.225 · 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.

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
Published2025
Admission routes2
Has abstractyes

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