Developing an operation, maintenance and surveillance manual for the post-closure management of tailings facilities
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
Mining companies have become increasingly focused on developing environmentally responsible decommissioning and closure techniques of tailings facilities to work towards more sustainable mining practices. With the help of the Mining Association of Canada (MAC) guidelines, the development and implementation of functional and manageable Operation, Maintenance and Surveillance (OMS) manuals for operating tailings facilities have become commonplace. As more tailings facilities are decommissioned and closed, and the expectations of regulators and society continue to grow, the need for further guidance through the application of similar documentation for the management of the post-closure facility also increases. This paper highlights the importance of developing a post-closure OMS manual for the management of closed tailings facilities (and other mining landforms), by way of a post-closure OMS guidebook. It describes initial ideas in the development of post-closure OMS manuals and provides some reasoning, structure and contents for a post-closure OMS manual. It would be encouraged that tailings facility reclamation personnel utilise a universal post-closure OMS guidebook to prepare a site-specific post-closure OMS manual. This paper references a range of sources and first hand experiences by the authors.
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) | 0.000 | 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 it