Measuring the Physico-Chemical Impact of Wastewater from the Open Sewer in an Industrial Area: Case of the Kossodo Industrial Area in the City of Ouagadougou in Burkina Faso
Bibliographic record
Abstract
Wastewater from industrial units in the Kossodo district in the city of Ouagadougou has a physicochemical impact on the environment and the population. For several years the Kossodo area was famous for the effects of wastewater from industrial units on the environment (a foul odor). We took samples from various points of the open canals in order to determine the physico-chemical parameters of this wastewater. This choice was guided by a concern to measure the physico-chemical impact of wastewater from the open sewer in the industrial zone of Kossodo in the city of Ouagadougou on the one hand and to show the danger represented by this wastewater from industrial units on the environment and public health on the other hand. The objective also guided the choice of the parameters retained for the measurement of the physicochemical impact of the industrial units wastewater of the open sewer of Kossodo zone in the city of Ouagadougou: MES, DCO, BOD5, pH, Potassium, Sodium. The results show that the wastewater from the open sewers of the industrial units of Kossodo in the city of Ouagadougou, has a high physicochemical parameter content than the authorized discharge standard.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 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".