Understanding plateau landslides: current research in the Thompson River valley, Interior Plateau, British Columbia (2013-2020)
Bibliographic record
Abstract
The mandates of Inter-Departmental Letter of Agreement 4755 (IDLA-4755) and Inter-Departmental Memorandum of Understanding (IMOU-5170) between Natural Resources Canada (NRCan), Geological Survey of Canada (GSC), and the Transport Canada Innovation Centre (TC-IC) are to research and monitor landslides where vital railway infrastructure and operations, public safety, natural resources, and the environment are at risk. Research activities in the Thompson River valley railway corridor from 2013-2020 are reported herein, including: i) an ongoing proactive infrastructure monitoring and evaluation (PRIME) survey in collaboration with the British Geological Survey (BGS); ii) monitoring with a developmental global navigational satellite system (GNSS); iii) high-resolution photogrammetric change detection using unmanned aerial vehicles (UAV) and commercially available software; and iv) fine and ultra-fine resolution mapping of Thompson River using RADARSAT-2 and SENTINEL-1 synthetic aperture radar (SAR).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".