Refinement of palaeotopography in modelling of glacial isostatic adjustment
Bibliographic record
Abstract
When modelling the glacial-isotatic adjustment (GIA) by an initial value approach, the earth is assumed to be hydrostatically prestressed in an initial state. Including the sea-level equation in a solution requires, in addition, to define an initial topography, for which the present-day topography is mostly chosen. At the first view, this choice is reasonable: Topographical variability is by a few orders of magnitude larger than the residual surface deformation at present time due to GIA, which is at most of the order of 100 m in northern Canada and some parts of Antarctica. But, when considering the effect of the time-varying ocean load, the influence of palaeotopography may become important. Assuming that coast lines follow the sea level, we determine the initial topography in such a way that the predicted present-day topography after one glacial cycle coincides with the actual topography. We discuss consequences for the prediction of geodetic and geological observables as for the reconstruction of palaeo-sea level.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".