Yedoma. Part 2. Annals of geocryological research, especially radiocarbon dating and the stable-isotopes studies in the first decade of the XXI century
Bibliographic record
Abstract
The first decade of the 21st century in the study of yedoma marked by the widespread use of AMS radiocarbon dating on microinclusions extracted directly from the ice wedge. These studies, together with a detailed study of stable isotope composition, were carried out at Lomonosov Moscow State University (Yu. Vasil'chuk and A. Vasil'chuk) on yedoma sections of Western Siberia, the lower Kolyma, Central Yakutia, together with specialists in the radiocarbon dating: J. van der Plicht, J.-Ch. Kim, H. Jungner, L.Sulerzhitsky. Isotope study of Yedoma sections on the right bank of the Yenisei Bay was begun (A.Vasiliev, E.Gusev, I.Streletskaya and others). During this period, active isotope and radiocarbon studies of yedoma began by the participants of the Russian-German expedition (A.Andreev, A.Chizhov, A. Derevyagin, G.Grosse, H.-W.Hubberten, L. Schirrmeister, S. Wetterich etc.) in the Anzhu Islands, the Lena Delta, and Arctic coast of Western Yakutia. In Chukotka, yedoma was studied by researches of the Anadyr station (A.Kotov). Researchers from the University of Fairbanks (M.Kanevsky, Yu.Shur, H.French, M. Bray and others) continued to study the Fox Tunnel as well as northern Alaska yedoma. Radiocarbon dating, the study of mammoth fauna, and stable isotopes were started by Canadian scientists (C. Burn, D.Froese, G. Zazula and others) on the Yukon yedoma. The study of Paleolithic sites in the yedoma sections were started of the Yana River and the New Siberian Islands (V. Pitulko, E. Pavlova etc.)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.040 | 0.009 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".