Some clear evidences of the intrasedimental origin of massive ice in northern Eurasia
Bibliographic record
Abstract
Massive ice is widespread on the territory of modern of Eurasian permafrost area: in the north of Western Siberia, Taimyr, Chukotka, and Arctic islands. Their thickness reaches 45-50m. The origin of massive ice is difficult to define due to the equifinality of such two different processes as intrasedimental freezing and formation of glacial ice. In both cases, thick massive ice is formed in various ways, but with the same final appearance. Three important aspects that show the evidence of the intrasedimental origin of massive ice in the north of Eurasia are examined. At first glance, they are obvious, but still fell out of sight of paleogeocryologists. It is shown that: 1) Any currently existing Late Pleistocene glacier, or part of it located under Holocene ice, have not yet been found within the Eurasian Arctic or on the Arctic islands with ice sheets, nor in the mountainous regions. 2) The isotopic composition of the vast majority of massive ice found in northern Eurasia is quite "Holocene", whereas in the north of Canada and Alaska, ice with a very light isotopic composition can often be found. 3) It should be taken into account that massive ice is found in the Holocene sediments of Western Siberia and Chukotka, where there is no reason to assume the glaciers spread to the plains.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".