Balanced Cross‐Sections and Numerical Modeling of the Lithospheric‐Scale Evolution of the Hindu Kush and Pamir
Bibliographic record
Abstract
Abstract The role of deformation and removal of continental lithospheric mantle (CLM) during continent‐continent collision, while recognized as fundamental to the evolution of orogenic systems, often remains speculative as direct evidence for these processes is typically absent. Nevertheless, these poorly understood deep lithospheric processes are expected to produce first‐order controls on the style of crustal shortening, magmatism, and metamorphism in large‐scale orogens. The Hindu Kush and Pamir offer an excellent opportunity to constrain these deep processes, as high‐quality seismic images reveal oppositely dipping slabs under the Hindu Kush and Pamir, inferred to be subducting Indian and Asian lithospheres, respectively. Using two‐dimensional mantle‐scale geodynamical models, we show that these along‐strike differences can be explained by the nature of the indenting Indian plate; thinner fringe Indian crust beneath the Hindu Kush, and full‐thickness Indian crust beneath the Pamir. In the Hindu Kush models, steep subduction of India follows early delamination of the Asian lithospheric mantle, whereas in the Pamir models, Asian delamination is followed by flat‐slab underthrusting of Indian CLM and forced subduction of northern Asian terranes. These styles of mantle delamination and subduction have key implications for the ensuing styles of magmatism, metamorphism, and crustal‐scale evolution of these systems. In the Hindu Kush, subduction of fringe India leads to burial of Indian crust under Asia, limiting both Himalayan growth and deformation of the Tajik Basin. In contrast, in the Pamir, forced subduction of the Alai terrane leads to Alai crust underthrusting the Pamir, forming the Pamir orocline.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".