Bibliographic record
Abstract
A total of 250,000 t of tailings enriched in arsenic and cyanide impounded behind an earth dam of suspect physical integrity constitute the greatest environmental liability at an abandoned gold mine on Mount Nansen, Yukon Territory, Canada. The primary cause of dam deterioration can be traced back to improper initial tailings placement, resulting in gradual melting of frozen ground into which the dam was keyed. Field investigation and sampling revealed that permafrost still underlay most of the impoundment. Subsequent comprehensive mineralogical and geochemical characterisation of the collected samples indicated that the tailings remained relatively stable chemically with low potential for metal leaching. Given that cyanide and related compounds continued to degrade naturally, rendering the tailings increasingly benign with time, and that the containment dam is unlikely to collapse catastrophically except perhaps under extreme seismic stress, it is suggested that the impounded tailings need not be relocated for permanent site decommissioning. A viable long-term alternative could involve downstream reinforcement of the dam structure, dewatering the existing shallow pond and covering the tailings with a layer of benign waste rock to arrest erosion and prevent direct access by roaming animals.
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.
How this classification was reachedexpand
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) | 0.001 | 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 teacher head, 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".