© The Geological Society of London 2006 1
Bibliographic record
Abstract
Abstract: On the morning of April 29, 1903, Canada's deadliest landslide swept down the eastern slope of Turtle Mountain, across the Crowsnest River, the surface infrastructure of the Canadian American Coal Company's Frank Mine, the southern end of the town of Frank and Canada's second transcontinental railway through the Crowsnest Pass. The Frank Slide killed 83 persons and injured 23. Two experienced Cordilleran geologists, McConnell and Brock, reported that the Slide had several causes: the form and structure of Turtle Mountain, heavy precipitation in the last few years, recent earthquake tremors and, the opening up of large chambers within the mine. The force that severed the last thread was the heavy frost on the morning of the Slide. The Survey geologists identified the danger of a rock fall from the North Peak of Turtle Mountain with catastrophic consequences for the town and the railway. To mitigate the risk, they recommended that the town be moved beyond the reach of danger. Coal mining continued however. In 1912, a Royal Commission confirmed the risk evaluation and the Federal Government financially supported the town's relocation. Coal mining was halted in 1918 by uncontrollable fires. A similar risk management process was carried out in the 1930's after the danger of a fall from the South Peak of Turtle Mountain had been identified by Allan. Lime City and the Provincial Highway through the Pass
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.429 | 0.280 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".