Bibliographic record
Abstract
Sustainable development has become a driving force in how the mining industry approaches all existing and future activities.Progress has been made to advance environmental performance and stewardship and provide benefits to civil society.Technologies are now in place to plan for, open, operate and decommission a mine property in an environmentally acceptable manner, both in the short and long term.Moreover, mining companies, governments and consultants have acquired a great deal more capability to deal with environmental and societal issues such as water contamination from mine wastes, including acid generation.The Mine Environment Neutral Drainage (MEND) program was the first international multistakeholder initiative to develop scientifically-based technologies to reduce the effect of acidic drainage.The original program (1989)(1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997) and its successor, MEND 2000MEND (1998MEND -2000) ) contributed enormously to the understanding of acidic drainage and how to prevent it.MEND focused the acidic drainage effort and developed a toolbox of technologies that is available to all stakeholders.Despite this progress, acidic drainage remains one of the most significant environmental issues facing the mining industry.In 2001-2002 MEND laid the groundwork for a renewed research program by identifying Canadian national and/or regional priorities through a strategy session and subsequent survey.Since then, many of these priorities are being addressed through projects, workshops, reviews on emerging technologies and guidance documents.MEND is a partner in the Global Alliance, an international alliance between regional groups involved in acidic drainage research.This group will continue its collaboration to enhance technology transfer towards improving the understanding of acidic drainage.The successes of MEND and other partnership programs have come through the cooperative efforts of the partners, the sharing of experiences, the thorough evaluation of technologies and practices.Through these efforts a significant advancement in environmental management is achieved and thus has contributed to the long-term sustainability of the mining industry and the environment.
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.074 | 0.022 |
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".