The sedimentology and geomorphology of rock avalanche deposits on glaciers
Bibliographic record
Abstract
Abstract This article describes and compares the deposits of four large landslides on two glaciers in Alaska using field mapping and remote sensing. Digital image analysis is used to compare the sedimentological characteristics of nearly 200 000 individual surface blocks deposited by three landslides at Black Rapids Glacier in 2002. The debris sheets of one of the three landslides on Black Rapids Glacier and a landslide emplaced on Sherman Glacier in 1964 are also investigated. The three landslides on Black Rapids Glacier have undergone little post‐depositional modification by glacier flow, whereas the Sherman Glacier landslide has been transported supraglacially up to ca 1 km over the past 46 years. The three debris sheets on Black Rapids Glacier have coarse blocky rims at their distal edges, and all four debris sheets have longitudinal flowbands characterized by differences in texture and produced by shearing within the moving debris. Elongated blocks are parallel to flow, except at the perimeter of the debris sheets, where they are aligned more perpendicular to flow. Blocks on the Sherman Glacier debris sheet have been reoriented by glacier flow. The matrix shows no systematic differences with depth or distance from the source. However, it appears to become coarser over a time scale of decades due to weathering.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".