Arsenic Lost Years: Pollution Control at Giant Mine from 1978 to 1999
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Arsenic pollution of the air, land, and waters surrounding the Giant Gold Mine in Yellowknife, Northwest Territories, has been an ongoing public health crisis since the mine was opened in 1948. This article focuses on the story of Giant Mine from 1978 to 1999, paying particular attention to environmental health policy reform in the mine’s later years in the 1990s. I argue that regulatory action was delayed and ultimately prevented by the inability of regulators to respond to the risks that continuous exposure to low doses of arsenic posed to the community around Giant Mine. This article uncovers a trail of government, activist, and industry discourse that illuminates the extent to which the Canadian environmental regulatory structure was paralyzed by a lack of certainty on how toxins like arsenic interact with the human body.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 0.004 |
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 it