Partial Stabilization of an Active Slide Area Utilizing Soil Mixed Shear Keys installed Using Cutter Soil Mixing Results of a Test Section
Bibliographic record
Abstract
The Fountain Slide is located on Highway 99, British Colombia, Canada, approximately 17 km east of the town of Lillooet. The slide, which incorporates about 750,000 m3 of material, is part of an ancient earth flow which has been active for decades, with recorded movements between 2006 and 2009 of in the order of 4 m. As a result of the large movement, the British Colombia Ministry of Transportation and Infrastructure converted approximately 300 m of the paved road surface to gravel so that it could be better maintained, and commenced investigation of suitable alternatives to mitigate on-going movement. Following their assessment of the engineering parameters of the slide, and a review of potential stabilization options, the Ministry elected to design and install a test stabilization section comprising a series of soil-cement shear keys installed using Cutter Soil Mixing. This paper presents background data on the slide, an overview of the conceptual design rationale used in the selection of parameters for the test section, the challenges and experiences gained during installation of the test shear keys, as well as the results of both the monitoring of the slope and the short and longer-term strength data accumulated for the soil-cement shear keys from both wet-grab and cored sampling programs.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".