Bibliographic record
Abstract
Annually, mineral mining process handles a few billion tones of rocks on our planet Earth. Opencast mining inflicts the most severe ecological damage. The generalized experience gained in recovery of mining ecology in foreign countries is indicative of the worldwide nature of this challenge. In the territory of the North America continent, from the Arctic Canada to the subtropics in the state of Ohio, ecologists investigate reduction in species diversity of plant communities as a result of opencast mining-induced impact and develop measures aimed at expansion of flora diversity. In the South America, local ecologists study recovery of plant ecosystems at gold mine dumps. To this effect, a non-conventional approach based on the data on natural habitats of tropical ants on the dumps is applied. In Africa, in the areas of large-scale opencast copper mining, the scope of the studies encompasses growing conditions of a rare endamic plant. It finally appears that this species of plant can effectlvely make large settlements on the mining landscapes with soil with the high copper content. On the Asian contentment of Australia, ecologies focus on mining-disturbed land reclamation after opencast mining of coals and bauxites, and handle environmental issues associated with the recovery of aquatic biotas in man-made reservoirs. In Europe the historical confrontation of the society and mining industry is dramatically strong. The environmental issues have become extremely acute in the recent decades in view of land pressure, dense population in the European countries and high concentration of industry. The mining-induced ecological issues are studied and sufficiently effectively treated in oil shale development, as well in large-scale opencast mining of sand-and-gravel, marble and coal deposits. The review of the scientific researches in the area of enhancement of the environmental activity efficiency in the field of mineral mining shows that the Earth biosphere shells on all continents are under close scrutinity of ecology experts, the goal and objective of which is minimization of the environmental impact of the mineral mining and processing industry.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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 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".