Spatial and temporal aspects of slope hazards along a railroad corridor in the Canadian Cordillera
Bibliographic record
Abstract
A successful slope management program depends on understanding the interaction between the potential slope failure and the elements at risk. This interaction defines the magnitude and likelihood of the potential consequences, which in turn defines the need for allocating resources for risk mitigation. The interaction can be divided into the probability of interaction between the displaced material and the elements at risk, and the degree of loss should impact occur. In this paper, the temporal and spatial aspects of landslides are analysed along a section of a railroad corridor through the Canadian Cordillera. The temporal and spatial aspects of the elements at risk are discussed and illustrated within the context of railroad freight train operations. An example is presented where the annual frequency of interaction between landslides and freight trains is estimated, and the associated spatial and temporal variability analysed. The paper highlights the importance, within a slope risk management strategy, of understanding landslide trends in space and time and how these spatial and temporal trends are related to morphology, geology and triggering mechanisms.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".