Caractérisation du plomb par la méthode d’échantillonnage aléatoire dans un dépôt de résidus miniers et un fossé routier adjacent à Capelton (Estrie, Québec)
Bibliographic record
Abstract
The objective of this study is to characterize the lead (Pb) in the surface material of a deposit containing copper mine tailing and blastfurnace slag, as well as in the water and bottom material of an adjacent road ditch. Sampling of the bottom ditch material was made according to the random systematic method. Results show an average concentration of 2 726 mg kg-1, which is largely above level 1 (170 mg kg-1) of the Canadian sediment quality criteria and the Quebec soil quality criteria C (1 000 mg kg-1). Sampling of the tailing deposit was obtained by adapting the simple random method to the site characteristics. Results yield an average Pb concentration of 2543 mg kg1, which is above the Quebec criteria C. The bottom material of the road ditch and the top horizon of the deposit are highly contaminated. Le but de cette étude est de caractériser le plomb (Pb) dans le matériau de surface d’un dépôt de résidus miniers de cuivre et de scories, ainsi que l’eau et le matériau de fond d’un fossé routier adjacent. L’échantillonnage du matériau du fond du fossé s’effectue selon la méthode systématique aléatoire. Les résultats montrent une concentration moyenne de 2 726 mg kg-1, dépassant très largement le niveau 1 (170 mg kg-1) des critères canadiens de qualité des sédiments et le critère C québécois (1 000 mg kg-1) de qualité des sols. L’échantillonnage du dépôt de résidus s’accomplit en adaptant la méthode aléatoire simple aux particularités du site. Les résultats donnent une concentration moyenne de Pb de 2543 mg kg-1, ce qui dépasse le critère C québécois des sols. Le matériau de fond du fossé et l’horizon supérieur du site sont fortement contaminés au Pb.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".