Geoenvironmental characteristics of gold and critical metal deposits
Bibliographic record
Abstract
The Critical Metals Activity used detailed geochemical, mineralogical, and limnological methods to characterize processes controlling the mobility of trace elements and radionuclides in mine wastes and waters at the abandoned St. Lawrence Columbium (SLC) Mine in Oka, Quebec. This mine operated from 1961 to 1976 and at the time was one of the largest niobium (Nb) producers in the world. Geologically, the SLC Mine is very similar to several other carbonatite-hosted mineral deposits across Canada that are being considered for mining of elements used in green energy and high-tech applications, including Nb and rare earth elements (REE). These studies have generated new geoscience knowledge on the potential environmental impacts of mining critical metals and have been used by the Québec Ministère de l'Energie et des Ressources Naturelles (MERN) to help guide remediation decisions for the SLC Mine site. The results will also help industry and regulators to improve environmental predictions for future Nb- and REE-mining projects and to support the development of new environmental guidelines. The Northern Baselines (Geoscience Tools for Environmental Assessment of Metal Mining) Activity used a multidisciplinary geochemical, paleolimnological, micropaleontological, and traditional knowledge approach to produce new geoscience knowledge on baseline geochemistry and cumulative impacts of geogenic and anthropogenic processes, particularly climate variability, on the transport and fate of metal(loid)s in mineralized regions of northern Canada. New geoscience knowledge on the role of climate variability on speciation of arsenic in porewater and sediments, and the seasonal cycling of metalloids between surface waters and sediments has implications for Environmental Assessment, remediation of contaminated sites, including Crown lands, and new development. The activity also generated new knowledge on the impacts of 21st century climate change on long-term carbon dynamics in permafrost wetlands, important for understanding feedback mechanisms and global carbon cycling.
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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".