Synthesis of the Seismic Structure of the Greater Alaska Region: Geodynamics Implications
Bibliographic record
Abstract
EarthScope has fundamentally improved the characterization of the crust and mantle structure within and below the North American plate in Alaska and northwestern Canada. This study reviews the geodynamic implications of recent EarthScope seismic synthesis results in the context of recent and classic geodynamic models of both location-specific and generalized subduction, and the limitations of models therein. In particular, the study examines constraints geodynamic models place on the tectonic implications of the improved upper plate, slab, and mantle structure for slab dynamics, mantle flow, and upper plate deformation. First-order remaining questions are identified for the Aleutian–Alaska subduction zone, interior Alaska, and northwestern Canada, including how deeper slab structure may affect trench motion and upper plate deformation, mechanisms of flat slab subduction, and the role of the Yakutat plateau subduction-collision in these processes. EarthScope seismic syntheses for Alaska are considered in the larger context of the Pacific Ring of Fire multi-plate system, of which the Aleutian–Alaska subduction zone forms the northern boundary. Similarities and differences with other subduction zones along the Pacific Ring of Fire are examined, with the Aleutian–Alaska subduction zone serving as a window to tectonic processes elsewhere along the Pacific Ring of Fire.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".