Sublevel retreat mining in the subarctic: a case study of the Diavik Diamond Mine
Bibliographic record
Abstract
Diavik Diamond Mine is located on the subarctic tundra of the Northwest Territories, Canada, 300 km northeast of Yellowknife. When its first two open pits were exhausted in 2012, it completed the full transition to underground mining. Three orebodies are currently being mined underground using two mining methods: blasthole open stoping and sublevel retreat (SLR). SLR was not an original method as described in the feasibility study. As the pits were mined, the underground project developed, and additional information became available. Over time, it became apparent that SLR would be the optimal method for two of the orebodies. A great deal has been learnt throughout development and operation of the SLR method at Diavik. This paper examines considerations for ventilation, production drilling and blasting, geotechnical concerns, and operational constraints for SLR mining in the subarctic. It also describes the process for method selection and the overall lessons learned.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".