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Record W2890677942 · doi:10.1017/rdc.2018.73

Floodplain Paleosols of Moskva River Basin: Chronology and Paleoenvironment

2018· article· en· W2890677942 on OpenAlex
A.L. Alexandrovskiy, Ekaterina Ershova, Elena Ponomarenko, Н.А. Кренке, V. V. Skripkin

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

VenueRadiocarbon · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversity of Ottawa
FundersRussian Science FoundationRussian Foundation for Basic ResearchHelsingin Yliopisto
KeywordsPaleosolFloodplainRadiocarbon datingGeologyCharcoalAlluviumArchaeologyDrainage basinFluvialPaleontologyChronologyStructural basinLoessGeography

Abstract

fetched live from OpenAlex

ABSTRACT Seven main periods of soil formation can be distinguished in the floodplain of the Moskva (Moscow) River, with the oldest paleosols dated to the Allerød age. We analyzed paleosols buried under alluvial deposits, colluvial sediments, and archaeological deposits within the catchment area of the Moskva River. Paleopedological reconstructions were correlated with the results of the pedoanthracological and palynological analyses. Series of radiocarbon ( 14 C) dates were obtained on humic acids and dispersed macro-charcoal from paleosols and archaeological features. Wide time frames of the floodplain paleosol formation were determined at a 95% probability as 14,600–12,600 cal BP for Soil 7; 9500–7000 cal BP for Soils 6 and 5; 6700–5500 cal BP for Soil 4; 5000–4400 cal BP for Soil 3b; 4100–2700 cal BP for Soil 3a; and 2000–700 cal BP for Soil 2. The dates were compared with the age of archaeological sites from the same areas. The comparison revealed a close correspondence between the ages of the soil charcoal and the timing of archaeological occupations. That allowed us to conclude that the fire occurrence on a regional level was associated mainly with the human occupation. The fire record is especially pronounced in floodplain paleosols, due to both the role of rivers as human migration corridors, and the integral accumulation of combustion products from the entire catchment area in these paleosols.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.207
Teacher spread0.198 · 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