A closure case study: the multidisciplinary and interconnected opportunities and challenges at a mine in northern Ontario, Canada
Bibliographic record
Abstract
This paper explores the challenges and opportunities of a mine’s closure plan amendment (CPA) in northern Ontario, Canada, which supports expanding the mine plan and extending the mine life. The future mine plan includes going underground, consolidating two neighbouring open pits, shifting and expanding a mine rock stockpile, and adding a fourth tailings facility. The scope of this closure plan is extensive and interconnected. There is the multidisciplinary nature of including all aspects of mine planning throughout its operational life, ultimate configurations and anticipating the needs to run a large mine, while also planning for reclamation and closure for what will be. There are over 15 technical studies that support the CPA. These studies are interconnected and result from one cascade into the next. Of the 15 studies, more than half are related to water, water balance, water quality, interaction of surface and groundwater, bioremediation, water management infrastructure, and impacts of water on land cover. More than six consultants support this work and all the mine’s departments came together to find alignment for two difficult challenges: more potentially acid generating waste than in the original mine plan and more water than previously modelled. The paper will walk through understanding how these scopes intertwine and the importance of working the interconnectivity and multidisciplinary nature of closure planning together to create a CPA.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.018 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".