Vegetating mine tailings: The benefits of using non-native species in the remediation of a bauxite residue site in Jamaica
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
The impact of non-native plant species, particularly invasive species, on biodiversity has been investigated and documented for decades and the general consensus is that they can pose risks and have a negative effect on native flora and fauna. However, there can be ecological and conservational benefits from using non-native plant species in the mine closure process, where remediation of process waste within a defined time period is often a requirement and presents greater challenges compared to a normal mine site. Initial remediation work on Rio Tinto’s bauxite residue sites in Jamaica commenced in the mid-2000s, and with the majority of the vegetation work now completed this paper aims to present some of the advantages of using non-native species in the remediation programme undertaken at a bauxite residue disposal site. In addition, the paper discusses the use of non-native plants in mine closure projects generally, local challenges surrounding the awareness and management of species that are now considered invasive, and some direction when local legislation is absent. The aim of this paper is to offer another perspective to the general view of negative impact of non-native species and demonstrate how some non-native, and even invasive plants, could play a beneficial role in certain cases in the field of tailings site closure.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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