The rapid increase in ice thickness along Nares Strait following ice arch formation
Bibliographic record
Abstract
Nares Strait, situated between northwest Greenland and Ellesmere Island, is an important conduit for the export of sea ice from the Arctic, including thick multi-year ice that is undergoing an accelerated loss. This export is modulated by the presence of ice arches that can form along the strait, and that can remain stable for months at a time. When an arch is present, there is no export of sea ice along the Strait. The formation and stability of ice arches is a function of sea ice thickness. There is a concern that the observed thinning of Arctic sea ice may be weakening the arches, resulting in an accelerated loss of sea ice from the Arctic. However, little is known about sea ice thickness's spatial and temporal variability along the Strait. Here we show that after an arch forms, ice motion continues north of the arch for a period of time that results in a rapid dynamical thickening of the sea ice in the vicinity of the arch. Over the period of a month after arch formation, the ice thickness may increase by up to 1.0m. This dynamically driven increase in sea ice thickness may help explain why the arches remain stable once they form.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".