Sea level variations during snowball Earth formation and evolution: 2. The influence of Earth's rotation
Bibliographic record
Abstract
Preliminary analyses are described of the influence of snowball Earth formation on the rotational state of the Earth as well as its feedback onto relative sea level. We demonstrate that a sufficiently large excess ellipticity of the Earth as might be expected to arise due to the mantle convection process acts to stabilize the rotational axis significantly so that the associated relative sea level change would be negligible. If no such excess ellipticity were characteristic of Neoproterozoic time, then increasing the thickness of the elastic lithosphere significantly promotes true polar wander (TPW) and the associated relative sea level change. On the contrary, increasing the viscosity of the lower mantle has an equally significant but opposite effect. TPW due to ice sheets formation for the 720 Ma and 570 Ma continental configurations (approximate Marinoan) can reach more than 5° and 10° in 10 Myr for viscosity model VM5a, and the associated maximum relative sea level changes at this time reach 26 m and 49 m, respectively. However, if a 1°/Myr TPW due to the action of the mantle convection process is assumed to be superimposed, then these values increase to 70 m and 101 m respectively. Compared to the analyses in which rotational influence is entirely neglected, the probability density distribution of freeboard values obtained here is almost the same except that the tails of the distribution are broadened, making it more difficult to accurately infer continental ice volume during snowball Earth events from observed freeboard changes.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".