Development of Avalanche Safety and Control Programs in the Canadian Rocky Mountain National Parks - A Historical Perspective
Bibliographic record
Abstract
The Parks Canada Warden Service has the responsibility for avalanche safety and control programs within the Canadian Rocky Mountains National Parks. The avalanche program has developed over the years in response to avalanche accidents, changing visitor use patterns and technological advances. Ski touring as a recreation began in the parks in the late 1920's and several avalanche accidents occurred in the early 1930's that the wardens responded to as rescuers. With the advent oflift serviced skiing after the second world war, it was recognized that the Wardens needed training in both skiing skills and avalanche snowcraft in order to adequately protect the public and respond to accidents. Noel Gardner instituted the first skiing and avalanche awareness schools for Wardens in the early 1950's. In 1955 a group of three select wardens traveled to Alta, Utah to study avalanche practices under Monty Atwater. Also in 1955 the Parks hired a Swiss mountain guide at the chief park warden level to administer the mountain rescue and travel training in the National Parks. During the 1960's considerable growth occurred in the ski areas in the parks, and the Wardens performed ski patrol and avalanche duties at the ski hills and began to experiment with explosive control methods to protect ski terrain and Park's roadways. The first avalanche danger bulletins and public information dissemination began. Record snowfalls and avalanches that created
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".