DESIGN CRITERIA AND SAFETY EVALUATIONS AT CLOSURE
Bibliographic record
Abstract
The majority of currently available dam safety guidelines do not account well for the specifics of tailings dams. In the guidelines commonly used in Canada, tailings dams are addressed alongside water retention (conventional) dams. This results in an user-unfriendly, and potentially unsafe and/or inappropriate, treatment of safety aspects specific to tailings dams. A number of guidelines developed for tailings dams have been published by the International Commission on Large Dams (ICOLD). Except for one of those guidelines (ICOLD 1989), a focus on the tailings dam safety is not provided. In particular, there seem to be very few and largely incomplete guidelines that speak to dam safety aspects specific to the tailings dam closure phase. Unlike for a conventional dam that would typically be breached upon the end of its useful life, the closure phase will be by far the longest state of being for a tailings dam, regardless of how long the dam was in operational use. This paper identifies and examines a number of tailings dam design criteria and safety requirements applicable to the closure phase, and concludes that many of such requirements must currently be selected on a case-by-case basis without support of sufficiently comprehensive guidelines.
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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 | 0.018 | 0.045 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".