Major deglaciation of Young Sound-Tyrolerfjord (NE Greenland) during the Early Holocene
Bibliographic record
Abstract
Current scientific knowledge of the deglacial history of Greenland is still spatially and temporally disperse, with a lack of data from several regions and time periods, as is the case for NE Greenland. A better understanding of the sensitivity of polar ice sheets to rapidly changing past climates is of key importance in the current climate scenario, where recent warming has affected the stability of ice sheets and thus accelerated global sea level rise. Here, we present new evidence of the glacial history of the 90-km long Young Sound-Tyrolerfjord system (NE Greenland) based on 78 10Be Cosmic-Ray Exposure (CRE) ages obtained from moraine boulders, polished surfaces and erratic boulders distributed across three tributary valleys (Zackenberg, Dolomit, Olsen) and at the head of the fjord (Tyrolerdal). The major deglaciation of the fjord occurred during Termination-1 (19-11 ka). At 13-14 ka, a period of major glacial shrinking was recorded, exposing also the highest surfaces of the region. No clear signal is detected in the area during the cold Younger Dryas phase. During the Early Holocene, glacial retreat accelerated, the lateral tributary glaciers receded and disconnected from the main glacier until the deglaciation of the fjord was completed by 10-11 ka. Since then, postglacial environmental (paraglacial, periglacial, slope, alluvial) dynamics have only slightly reshaped the landscape as Middle-Late Holocene climatic oscillations have not favoured large advances or retreats of the glacier fronts.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".