Righting Past Wrongs:The Case for a Federal Role inDecommissioning and ReclaimingAbandoned Uranium Mines inNorthern Saskatchewan
Bibliographic record
Abstract
In the first decades of the Cold War, northern Saskatchewan provided the United States military with a valuable, stable supply of uranium for strategic purposes. The mining operations that were developed to supply uranium to the United States military in this era ceased operations in the 1960s. Yet the people of northern Saskatchewan continue to live with the environmental and human health and safety risks of these mines to this day because, under the federal laws that regulated these mines in the 1960s, they were simply abandoned when they outlived their usefulness. As well, due to a quirk of Canadian constitutional law, the federal government has also abandoned its responsibilities for these sites and now claims that they are the responsibility of the Government of Saskatchewan. In the midst of this, 40 mines and 2 uranium mill sites remain abandoned and continue to pose a risk to the people who live in the vicinity. While the greatest concern should be for the environmental and health and safety risks these sites pose to the residents of the region, it is also worth noting that the current uranium mining industry views government inaction in addressing these abandoned sites as a continuing impediment to the public acceptance of their current operations, their international reputation, and their future growth in this province. This stems in large part from the fact that the general public does not differentiate between the historical owners of the properties in question and the (unrelated) uranium mining companies currently active in the province.
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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 | 0.034 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.055 | 0.049 |
| Scholarly communication | 0.021 | 0.013 |
| Open science | 0.006 | 0.014 |
| Research integrity | 0.029 | 0.037 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".