The Feedback Between Surface Mobility and Mantle Compositional Heterogeneity: Implications for the Earth and Other Terrestrial Planets
Bibliographic record
Abstract
Abstract Planetary surface mobility depends on lithospheric stresses arising from the mantle's convective vigor. Using a model of thermochemical convection featuring force-balanced plates we examine the effect on surface mobility of different fractions of compositionally dense mantle material. Specifically, we introduce a uniform thickness compositionally enriched basal layer in a system with mobile-lid tectonics and monitor whether an active lid is subsequently maintained. We find that long-term surface mobility decreases when enriched material is present. High mobility is always maintained if the total material volume is no more than 1% of the mantle volume. For the inferred volume of the Large Low Shear Velocity Provinces in the present-day Earth surface mobility is dependent on the buoyancy ratio of the enriched material. If the compositionally dense material self-organizes into provinces, both surface mobility and mantle upwelling vigor become more variable. Generally, upwellings that form at the edges of provinces are more buoyant relative to upwellings that form on the tops of provinces. If enriched material envelops the core, upwelling vigor is diminished so that plates are consumed more quickly than they can fragment, and surface mobility is eventually lost.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".