Bibliographic record
Abstract
Abstract A numerical model is used to calculate how the motion of an idealized ice-sheet margin is affected by the subglacial drainage of melt water from its surface. The model describes the evolution of the drainage system and its coupling with ice flow through a sliding law that depends on the effective pressure. The results predict ice acceleration during early summer when the inefficient drainage system is temporarily overwhelmed. The growth of a more efficient drainage system leads to a subsequent slowdown of the ice very close to the margin, but high water pressure and ice velocity are maintained through much of the summer further inland. Annual mean ice velocity increases with the total quantity of melt water except close to the margin, where it is almost insensitive to the amount of melting. Short-term variability of melt water input leads to rapid changes in ice velocity that result in a slight increase in the mean velocity relative to a smoother input. Linked-cavity and poroelastic models for the distributed drainage system are compared, and their relative merits discussed. Two different sliding laws are considered, and the need for a holistic description of hydraulically controlled sliding is highlighted.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".