Fibre Bragg grating and Brillouin optical time domain reflectometry monitoring manual for the Ripley Landslide, near Ashcroft, British Columbia
Bibliographic record
Abstract
An international multi-year project is investigating and monitoring the Ripley Landslide, 7 km south of Ashcroft, British Columbia. The aim of this collaborative work is to better understand and manage landslides along Canada's western railway corridor. From 2013 to 2016, the China Geological Survey (CGS) and Geological Survey of Canada (GSC) collaborated to test and evaluate experimental fibre Bragg grating (FBG) and Brillouin optical time domain reflectometry (BOTDR) technologies on an active landslide for the first time in Canada. Open File 8258 describes the operational procedures for these monitoring systems. FBG and BOTDR monitoring systems were installed on a lock-block retaining wall that separates the Canadian National (CN) and Canadian Pacific Railway (CP) tracks. This vital component of railway infrastructure crosses the southern extent of the main slide body; and was monitored with the aims of better understanding the deformation mechanisms and potential triggers for sudden movement; and managing the risks associated with railway operations. Monitoring data was processed on site then accessed by wireless transmitter from remote terminals at the CGS and GSC offices. Results, discussed in the context of interpretations from other physical surveys of the landslide, provide new insight into the nature and distribution of surficial earth materials, their stratigraphic relationships, internal structure of the landslide, and structural integrity of critical railway infrastructure. This study demonstrates that optical fibre sensing real-time techniques are viable, cost effective monitoring methods that can ensure the safety and security of the railways, thereby reducing risks to national public safety, the environment, natural resources and international economies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".