Yedoma. Part 1. Annals of geocryological research in the XIX-XX centuries
Bibliographic record
Abstract
The subject of the study is the yedoma i.e. perennially frozen organic-bearing ("1–2% of Corg) and ice-rich (containing 50–90 vol. % of excess ice) silty, sandy loam and fine sand deposit of Late Pleistocene age. Yedoma with multi-stages syngenetic ice wedges (up to 15–20 meters high and up to 3.5 m wide) aged from 11.7 to 50 cal. ca BP often saturated with rock debris and gravel inclusions in intermountain basins and river deltas. The most famous regions of the Siberia, where yedoma is widespread, are the Kolyma and Yana-Indigirka lowlands, the New Siberian Islands, Lena and Vilyui River valley, Lena-Anabar, Anabar-Khatanga and Magadan regions, Yamal, Gydan and Taimyr Peninsula, Olekma, Biryusa valleys. In Alaska, these are slump on the Itkillik River and the Fox Permafrost Tunnel. Yedoma of the Klondike are known in the Yukon. Sections with large ground ice in yedoma were first described in the early 19th century on the Alaska and the New Siberian Islands, the idea of syngenetic accumulation of permafrost arose in the late 19th - early 20th centuries, the mechanism of syngenetic formation of yedoma was described in the middle of the 20th century. In the end of 20th century, studies of yedoma reached a new level. The oxygen and deuterium stable isotopes study of ice wedges together with radiocarbon ages of ice wedges gave the possibility to reconstruct the winter paleotemperature during yedoma formation. It was established the different genesis of yedoma also.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.057 | 0.013 |
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".