Growth of invasive plant species communities as a substantial issue in post-mining land development
Bibliographic record
Abstract
This article concerns the issue of the appearance and growth of invasive plant species in land degraded by hard coal mining and the repercussions of this process, particularly in the context of land reclamation. These species, such as Canadian goldenrod or Japanese knotweed, which nearly always form extensive and monocultural patches of vegetation, contribute to the displacement of both native species and those introduced as part of biological restoration. In 2015, the Central Mining Institute in Katowice prepared a land development concept for a part of the area of the former KWK Paryż mine in Dąbrowa Górnicza (Upper Silesian Industrial Region – Poland), based on its resources and potential, encompassing the “Jadwiga” dump and its vicinity . The presented actions scenarios did not fully factor in the issue related to the growth and control of invasive plant species. Studies of the growth of invasive species communities, conducted from 2015 to 2019 with the use of UAV (unmanned aerial vehicles), revealed the significant propagation of the Japanese knotweed Polygonetum cuspidati (Moor 1958) Th. Müller et Görs 1969 ex Görs 1974 association as well as the Canadian goldenrod Solidago canadensis community. Their elimination increases the cost of the reclamation by 18%.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".