Implications of Non-Acidic Metal Leaching on Mine Rock Management at a Nickel Mine in Permafrost Terrain: Environmental Baseline Investigation
Bibliographic record
Abstract
Raglan is a nickel-copper mine in the continuous permafrost region of Quebec that commenced operations in 1997. The potentially-acid mine rock was being stockpiled for later backfill of open pits to freeze in-place for permanent storage, while non-acid generating mine rock was stored on surface permanently. However, it has recently been recognized through laboratory and field investigations that nickel leaching occurs for certain rock types that were considered to be non-acid generating. The pre-existing screening criteria were reexamined to address the issue of nickel leaching and cut-off criteria for reactive waste. The more conservative criteria resulted in a significant change in mine plans to dramatically reduce the quantity of mine rock for the project. In addition, a baseline assessment of the mine claim areas was initiated to better define conditions in areas of planned open pits. Natural levels of nickel in the region are elevated but actual values are watershed specific. Surface water quality is now routinely monitored and nickel loadings are evaluated by sub-watersheds to identify pre-mine and mining operations effects. The results of three years of monitoring are summarized.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".