CASE STUDY OF A DEEP SLAB INSTABILITY AND ASSOCIATED DRY AVALANCHES
Bibliographic record
Abstract
This study considers the predictive merit of weather and snowpack data for avalanches that re-leased throughout the winter on a layer of faceted crystals that formed on a rain crust in November 1996 in the North Columbia Mountains of western Canada. The facet-crust combinations formed as a result of a cold air mass cooling a layer of dry snow on top of a rain-wened layer. The highly ranked variables associ-ated with natural avalanches include previous avalanche activity, accumulated snowfall over several days, changes in air temperature over four to five days, snowpack properties, including a shear frame stability index, and the difference in hardness between the facet layer and the crust. Increases in air temperature over four to five days correlate with increased avalanche activity, however current theories for warming do not explain decreased stability especially where the slab is thick. We argue that the fractures that release deep slab avalanches may be initiated where the slab is locally thin.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".