Extreme Supercontinental Climate Control: Punctuated Mantle Thermal Mixing and a Sustained Snowball Earth?
Bibliographic record
Abstract
The intermittent assembly and fragmentation of insulating supercontinents can modify the lateral extent of plate-scale convective thermal mixing. During the assembly and fragmentation of supercontinent Rodinia, consequent shifts in the balance of volcanic sources and weathering sinks for atmospheric CO 2 through a transient disruption of the exchange and mixing of insulated subcontinental and strongly cooled suboceanic mantle material potentially enabled nearly 100 million years of intense cooling and a snowball Earth climate in the Neoproterozoic. We discuss two largely unexplored underlying geodynamic drivers for this climate change. The first is an optimized mid-ocean ridge fault and fracture-controlled weathering sink for p CO 2 that acts as a “ p CO 2 -stat ” rather than a conventional “thermostat.” Second, enhanced continental crustal warming during assembly leads to intensified continental arc magmatism, crustal magma storage, and a proclivity for explosive caldera-forming eruptions during supercontinental breakup. Ash delivery and related surface meltwater production and drainage to the underlying surface ocean can reduce the resilience of the global glaciation during supercontinental breakup. Overall, we demonstrate potential powerful connections among tectonic fluctuations, climate evolution, and the long-term tectonic buffering of climate change. We apply this message to ongoing vigorous discussions of the tectonically modulated dynamics of habitability that drive the search for Earth-sized habitable worlds.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".