Assessing the impacts of mining activities on fish health in Northern Québec
Bibliographic record
Abstract
For several decades, Northern Québec has been exploited by mining companies for its mineral resources, yet, research documenting the effects of toxic stress on fish health in subarctic environments remains limited. In this study, one lake directly affected by mining activities in the Schefferville area, two lakes close to mining facilities in the Fermont and Schefferville areas, and one reference lake were sampled for water, sediment, and fish. Our results suggest that manganese bioaccumulation induced an oxidative stress in Catostominæ, as demonstrated by the positive relationships between manganese concentrations and catalase (CAT) activity and 8-hydroxy-2′-deoxyguanosine (8-OHdG) concentrations, as well as the negative relationship with glutathione peroxidase (GPx) activity (both CAT and GPx activities being biomarkers of antioxidant capacities and 8-OHdG an indicator of deoxyribonucleic acid oxidative damage). Similarly, selenium bioaccumulation was positively correlated with 8-OHdG concentrations in Salmoninæ. These results suggest a prooxidant role of excess selenium and manganese, and highlight the interspecific variability of fish responses to contaminated areas around historical and current iron ore mining operations.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".