Regulatory considerations for historic mine remediation in BC : Atlin Ruffner Mill and Tailings case study
Bibliographic record
Abstract
A large number of historic mine sites across British Columbia are no longer operating and no responsible person exists or can be found. The clean-up of historic mine sites is undertaken as per provisions within the Environmental Management Act (EMA), and particularly the Contaminated Sites Regulation (CSR) and the Hazardous Waste Regulation (HWR). The Crown Contaminated Sites Program (CCSP) of the BC Ministry of Forests, Lands and Natural Resource Operations leads the management of contaminated provincial lands where the province has accepted responsibility. The CCSP identifies and prioritizes sites using a science-based and risk assessment approach to reduce risks to human health and the environment. Using the Atlin Ruffner Mill and Tailings Site as a case study, the application of the CSR and the HWR to the remediation of a historic mill and tailings will be discussed. The site is approximately 20 km from Atlin, BC and produced silver, lead, and zinc as well as gold, copper, cadmium, molybdenum, and tin. Prior to remediation, the mill and tailings site included a mill building with machinery and ore storage bins, two leveled areas (upper and lower mill pads), two trailers, a shack, an explosives shed, a tailings pond, two settling ponds, and an adit with flowing drainage. Prior to remediation, the site was classified as High Risk under the CSR and metals in soils and mine wastes were classified as leachable hazardous waste under the HWR, requiring special permitting to be managed on site. The paper will focus on the application of the CSR and HWR to the mine site.
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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 | 0.002 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".