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Record W1171352694

Yedoma - loess or not loess – that’s the question

2014· article· en· W1171352694 on OpenAlexaboutno aff
Jens Strauß, Lutz Schirrmeister, Sebastian Wetterich, V. Kunitsky

Bibliographic record

VenueHelmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut) · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyPermafrostSolifluctionLoessAeolian processesSedimentFrost weatheringColluviumThermokarstPleistocenePhysical geographyGeochemistryGeomorphologyEarth scienceGlacial periodPaleontologySoil waterSoil scienceAlluviumOceanography
DOInot available

Abstract

fetched live from OpenAlex

Late Pleistocene Yedoma is often described as arctic loess, but its formation is still disputed in literature. Differences of interpretation remain between researchers of western and eastern Beringia. These differences largely center on the relevance of eolian processes for Yedoma formation. Researchers working in Yukon and Alaska often characterize Yedoma silts as primarily loess. In contrast, researchers working in Siberia have proposed several hypotheses about the origin of Yedoma, including alluvial, glaciolacustrine, deltaic, proluvial/colluvial, cryogenic-eolian, nival, and polygenetic processes.
\nThe polygenetic Yedoma origin combines two major processes, (1) sedimentation and (2) syngenetic freezing, which were largely controlled by similar landscape and relief characteristics, climate conditions, periglacial processes, and the occurrence of nearby sediment sources. Syngenetic freezing, including the presence of large syngenetic ice wedges, unique cryostructures of the frozen deposits as well as fossils of the late Pleistocene mammoth megafauna and tundra-steppe flora, is the overarching similarity of the Yedoma deposits.
\nIn addition to huge ice wedges, the frozen sediment sequences commonly contain excess ice, with gravimetric ice contents (ratio of the mass of liquid water and ice in a sample to the dry mass of the sample, expressed as a mass percentage) of 70 to >100 wt%; this corresponds to an absolute ice content (related to the wet sample weight) of 30 to > 60 wt% for the Yedoma sediment columns. Estimating that ice wedges occupy about 50% by volume (vol%), the total volumetric ground ice content of Yedoma sequences likely varies between 65 to 90 vol%. Therefore, the major component of the Yedoma deposits is ground ice, which is the main distinction from other loess sediment deposits.
\nThe clastic components of the Yedoma deposits are poorly sorted and range in grain size from dominant silt to fine--grained sand and gravel is encountered as well. Granulometric parameters differ from site to site as well as within horizons, but the grain size peaks of nearly all samples lie within the silt and fine sand range. Multi-modal grain-size distributions suggest a variety of transport processes, and underscore the importance of the re-deposition of silts with coarser grain sizes. Heavy-mineral analyses of Siberian Yedoma suggest significant differences in detrital composition between sites, indicating different local sediment sources in the hinterland.
\nIn conclusion, we answer the loess-question as follows: aeolian deposition is involved in Yedoma formation, but it is neither the single nor the major mechanism of sediment deposition in western and eastern Beringia.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.041
GPT teacher head0.286
Teacher spread0.245 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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