Slope Redesign and Slope Remediation during Design/Build Construction at Kicking Horse Canyon - Phase 2
Bibliographic record
Abstract
This paper describes the adjustments to the design and stabilization of the excavated highway slopes during construction of the Phase 2 Upgrades to the Trans Canada Highway in Kicking Horse Canyon between Golden and Yoho National Park. After the start of the construction of the design/build project, the detailed snow avalanche analysis indicated that the bid design for slopes on the western end of the project that were proposed to be cut at an angle of 1:1 for geological reasons would generate an unacceptable avalanche risk. Consequently, it was necessary to steepen the rock and overburden cuts from 1:1 to 0.5:1 and install slope support. In some areas the rock structure varied significantly over short distances and caused unexpected, local failures which required on-the-fly designs of additional rock and overburden support in the form of steel mesh, shotcrete and rock bolts. The natural slopes in the area of the project are very high and steep and many of the soil and rock units are relatively weak - a combination that provided significant geotechnical challenges and resulted in slope instability in places that required remediation to constructed works. This paper describes the initial and revised designs and construction of the up to 75m high rock slopes and the support for the till and colluvium slopes above the rock cuts. The paper also describes the revisions to the design of rock support for one of the large bridge piers as a result of discovering adversely dipping rock jointing after overburden removal.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".