Analysis of Weak Layer Avalanche Activity in the Columbia Mountains, British Columbia, Canada
Bibliographic record
Abstract
This study uses avalanche observations to characterize the spatial characteristics and temporal avalanche activity patterns on persistent weak layers. The study is situated in the Columbia Mountains in Western Canada, a mountain range with a transitional snow climate. The data was provided by Canadian Mountain Holidays, which operates 11 individual helicopter-skiing operations in this area, covering a total area of 20,000 km. The analysis shows that early season faceted snow layers and surface hoar weak layers are the main concern in this area. About 16% of the natural avalanche activity is on these persistent weak layers, and 28% when skier/helicopter triggered avalanches are included. It is shown that persistent weak layers with significant avalanche activity are generally widespread. While surface hoar layers seem to have fairly well defined avalanche cycles for about 2 to 3 weeks after their burial, faceted snow layers are active more sporadically throughout the entire season. The results of the analysis are promising for the development of a new statistical model for forecasting avalanche activity specifically on persistent weak layers. This has been a weak point of the currently used statistical models, which are mainly based on meteorological variables and, as a consequence, work best for new snow instabilities. An additional aspect of this work is that, for the first time, it allows the characterization of the avalanche climate of an area on the basis of actual avalanche observations. All previous studies have only used weather observations for their climate type definition.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.073 | 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".