ÉVALUATION DE LA CONTAMINATION DES SOLS DES CARRIÈRES D'EXPLOITATION DU GISEMENT DE CALCAIRES DE TABLIGBO (SUD-EST TOGO) PAR LES MÉTAUX LOURDS TOXIQUES
Bibliographic record
Abstract
L'exploitation des calcaires de Tabligbo, au sud-est du Togo a d'enormes impacts sur le milieu biophysique. Malgre son importance economique, elle degrade les sols du milieu. Ceux-ci peuvent etre alors contamines par les elements traces metalliques (ETM), notamment le cadmium, le plomb, le nickel et le cuivre. Une evaluation de la contamination de ces sols miniers a ete donc effectuee par dosage desdits ETM dans les sols. Les resultats ont montre que les quantites de plomb evoluent de 2,225 ppm dans la zone non-exploitee a 4,253 ppm dans la carriere de Scantogo, a 4,928 ppm dans la carriere Wacem, et a 6,978 ppm dans la carriere de Cimao. Celles du cuivre et du nickel augmentent egalement de la zone non-exploitee aux zones exploitees. Ce qui indique que l'exploitation a entraine une contamination du sol en plomb, cuivre et nickel. L'analyse de la pollution par les ETM a montre que leurs teneurs dosees dans les sols sont inferieures a celles des seuils fixes par le CCME (Conseil Canadien des Ministres de l'Environnement) ; ce qui revele que les sols du secteur d'etude ne sont pas pollues par ces ETM.
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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 | 0.000 | 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) | 0.001 | 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".