Rayrock North West Territories [sic] : history, uranium tailings and environment.
Bibliographic record
Abstract
The Rayrock Mine Site is located about 145 km northwest of \nYellowknife and 56 km north of Marian Lake. Rayrock Mines \nLimited recovered 458,000 pounds of yellow-cake between June 1957 \nand July 1959, leaving about 80,000 tons of tailings in two \npiles to the south of the mine site. The piles cover an area of \nabout 6 and 8 ha. are free of vegetation and have small water \nbodies in depressions on the edges of the pile and at lowest \npoints of the pile. These waters directly in contact with \ntailings appear to be high in radium and copper, reflecting the \nelevated concentrations of these elements in the tailings. \nRadium.. and lead-210 concentrations are high in the tailings compared to other abandoned or inactive uranium mill tailings sites in Canada. \nHowever, the concentrations in the waste material can range from 350 to 3,300 pCi /g for Radium-226 and \n350 to 3,000 pCi/g for Lead-210. A representative average concentration for Radium-226 and Lead-210 in \nthe Rayrock tailings cannot be determined as only a small sample set has been analyzed. Contaminated soil underneath a tailings cover, particularly in the North tailings pile arid on the edges of both \npiles, was found. The size of the area with contaminated soil is not known , but. this soil may be a source of contamination for vegetation rooted below the thin tailings cover. A second possible source of \ncontamination of vegetation in the vicinity may be windblown tailings originating from the more \ndry, South tailings pile. Although the coarse tailings are weak acid generating and have been in contact with some water bodies for more than two decades, the water pH has riot been affected. The \nwater quality parameter analyzed for Sherman Lake and the downstream system suggest, tentatively, \nthat on the small Lakes Alpha and Gamma have been contaminated, but all other water bodies show no evidence of contamination related to the tailings decomposition.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.130 | 0.027 |
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".