Influence of viscosity pressure dependence on deep lithospheric tectonics during continental collision
Bibliographic record
Abstract
Abstract Previous geodynamic models of continental collision show that the behavior of the continental lithosphere is strongly influenced by its rheology. We build on previous work by quantitatively investigating with numerical experiments the influence of the pressure dependence of viscosity on the process of tectonic deformation during collision. The models demonstrate how the inclusion of viscosity pressure dependence can quite substantially alter the style of continental mantle lithosphere deformation. At low activation volumes, high convergence rates, and low to moderate initial Moho temperatures, the subduction style of mantle lithosphere deformation is dominant. Increasing the activation volume of mantle material allows the subduction style of deformation to occur at all convergence rates studied in the experiments, at the expense of the subduction‐drip and ablative‐drip styles of deformation. At low activation volumes, high convergence rates, and high initial Moho temperatures, the distributed pure shear style of deformation occurs. With these same conditions, increasing the activation volume of mantle material produces an ablative subduction style of mantle lithosphere deformation. At low activation volumes, low convergence rate, and moderate to high initial Moho temperatures, the mantle lithosphere prefers a convective removal style of deformation; increasing the activation volume here yields an ablative‐drip and distributed pure shear styles of deformation. The results demonstrate that inclusion of the pressure dependence of viscosity—quite often neglected in lithosphere‐scale geodynamic models—can be significant in modulating deformation of the deforming lithosphere.
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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 | 0.002 |
| 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".