Faro Mine Landform, Cover and Revegetation Pilot : Yukon
Bibliographic record
Abstract
Milestone Environmental Contracting (Milestone) was engaged by Parsons Corporation (Parsons) to construct cover system field trials for the Landform, Cover, and Revegetation Pilot (LCRP) of the Faro Mine Remediation Project (FMRP). Okane Consultants and SRK Consulting performed engineering designs and field oversight for the construction of the LCRP on behalf of AECOM and the Government of Canada. The LCRP comprised two primary areas. The first area (Mine Area) involved construction of cover system field trial panels for varying depths and placement methodologies by loading, hauling, and placing borrow materials on previously graded waste rock landforms to assess cover system material, revegetation options, and implementation methods. The second area (Tailings Area) involved the placement of geotechnical trial fills on the tailings to test field-scale performance. Demonstrating remediation at this scale will allow stakeholders to visually assess reclamation, in addition to quantitative performance monitoring results. The work also included an onsite borrow development and construction of lined surface water and sediment monitoring ponds. During the project, materials were extracted from borrows with a comprehensive material sampling program to build a database of necessary material characterization to inform the ongoing design and remediation of Faro Mine. A total of 15 cover trial panels were constructed at the Mine Area to test material types, cover thicknesses, and placement methods, and consisted of both plateau (5% slope) and (33% slope) panels. The panels will be continuously monitored with learnings informing final cover system design and revegetation. A total of six trial pads of varying thicknesses were constructed on the tailings to assess performance of the future tailings landform. Some key challenges from the LCRP project included maintaining access to borrow source areas, constructability of the cover system field trials with heavy equipment, and a shortened seasonal construction window.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".