Background research of the tailings area of a Ni-Cu mine for the determination of an optimal method of revegetation
Bibliographic record
Abstract
This research determined the agricultural properties of pyrrhotite-rich exposed tailings of a Ni-Cu Mine, at Thompson, Manitoba, the state of plants colonizing them, and did greenhouse tests of standard revegetation techniques. Top- and sub-soils of the tailings were compared with glaciated clay soils in a Control Area. The most important characteristics of the Exposed Tailings are low Net Neutralization Potential (-1.27 to -243.67 kg CaCO<sub>3</sub> eq./tonne) and high salinity (2.58 to 19.0 dS/m) in the root zone. The tailings and the plants growing on them contain high Ni. In the greenhouse experiment, plant growth was suppressed even though tailings were neutralized and treated with organic matter and fertilizer. Therefore, the standard revegetation methods can not be applied. We recommend a protective layer of waste rock fines to limit root growth into the tailings. This layer should be covered by organic layer for plant growth. The protective layer would also decrease the production of windborne dust and the flow of oxygen into the tailings.
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How this classification was reachedexpand
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".