Use of BGM in the Diavik Diamond Mines Processed Kimberlite Containment Facility
Bibliographic record
Abstract
The Diavik Diamond Mine in the Northwest Territories of Canada is located on the East Island of Lac de Gras. Protection of the environment and specially the quality of the water in Lac de Gras is a priority for the mining company. Geomembrane lined dams are used to collect run off from all mining areas or the island. Following removal of the diamonds from the kimberlite the remaining material, the “Processed Kimberlite” is permanently stored in a containment facility constructed with a geomembrane liner in the perimeter dams to minimize seepage. This paper reviews the performance of the bituminous geomembrane (BGM) that was installed in three water management ponds. The PK facility is constructed in stages with the fourth stage being constructed in 2006. In this stage, the design was changed to use a bituminous geomembrane rather than a HDPE geomembrane. Using these recent site construction examples, the weather conditions under which the BGM can be installed, particularly under extremely cold conditions, the changes to the dam section that the change of line type allowed, and areas of cost and schedule savings that the change allowed are identified, and the method used to bond the two geomembrane types are presented.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".