An arctic case study of revegetation planning to implementation at Snap Lake Diamond Mine
Bibliographic record
Abstract
Closure planning is a requirement of the permitting and licencing process for mines in Canada and this typically includes revegetation of land disturbed by the development and operations of the mine. At the Snap Lake Mine located in the Northwest Territories of Canada, revegetation planning and design spanned over 20 years, originating to support initial permitting through to the final regulatory approvals of the mine's revegetation design and implementation at site. The purpose of this paper is to present a case study for the revegetation design completed for the Snap Lake Mine. This case study examines the influence of the permitting and regulatory process, engagement with stakeholders, and the outcomes of scientific and technical research on the revegetation design for a remote, cold region mine. It was demonstrated that consideration of regulatory requirements and stakeholder wants is just as important as the technical and scientific findings when developing a revegetation design for a mine. Key learnings presented in this case study can be used to inform researchers and decision-makers of the planning and design requirements for revegetation of northern mines, including the legal, social, and technical aspects that influence revegetation planning and the overall timeline for the revegetation design process.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".