Afforestation of Former Asbestos Mines in Quebec, Canada
Bibliographic record
Abstract
This chapter summarizes research efforts that have been made to identify soil reconstruction techniques and tree species to successfully restore abandoned asbestos mine sites and sequester large amounts of carbon. The research case study first provides a short historical perspective of asbestos mining in Canada as well as brief descriptions of some environmental issues related to mine closure and of the traditional approach to ecological restoration of waste rock and tailings piles. Survival and growth of planted trees on innovative technosols developed from a mixture of materials (biosolids and marginally contaminated soils) in a windrow pattern are then reported six years post-planting. Results confirm very satisfactory survival and growth rates of three hybrid poplars, tamarack (larch) and white spruce, and in turn, suggest a potentially efficient nature-based climate solution by acting as a significant carbon sink in both soils and trees, assuming in the latter a continued growth with limited damage by the strong winds. It also shows that restoring abandoned asbestos-mining sites with trees provides multiple benefits compared with the heavily disturbed state of the sites prior to restoration, including naturally encroaching vegetation and newly created habitats for wild fauna and flora.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".