Emergency remediation of instability at Caudalosa tailings dam, Peru: a case history
Bibliographic record
Abstract
This paper describes the instability in the foundation of the Caudalosa tailings dam in Peru. The instability threatened collapse of the structure along with the risk of unacceptable contamination of the River Escalera, located immediately downstream of the toe of the dam. At the time of these investigations, large deformations were in progress. The head scarp of the potential slide, located in the stored tailings, had reached a height of 2 m. Visual observations, as well as subsurface investigations, indicated that the instability was due to the presence of soft to medium plastic clay in the foundation. Emergency stabilization was successfully achieved by the construction of large trenches at the downstream toe, allowing the low consistency clay to be removed and backfilled with compacted mine waste rock. Other secondary stabilizing measures that were undertaken are also described.Key words: clay, dam, instability, remediation, stabilization, slide, tailings.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".