Urban Governance and Sanitation in the Peri-Urban Commune of Agoè-Nyvé 6 in Togo: Diagnosis of the Sanitation System in Adétikopé
Bibliographic record
Abstract
In African cities, the ever-increasing production of wastewater and excreta poses a major management problem. The aim of this study was to take stock of wastewater and excreta management in Adétikopé in the commune of Agoè-Nyivé 6. This was a cross-sectional, descriptive study of the knowledge, attitudes and practices of the population of the locality of Adétikopé in terms of wastewater and excreta management, which took place from August 2022 to July 2023. It involved 5256 households in 12 villages in the locality of Adétikopé and was carried out via a field survey, interviews, observations and documentary research. The results showed that 72.60% of respondents were women. The majority of households (85.62%) had latrines, 66.40% of which had never been emptied. The remainder used a mechanical emptying truck (5.48%). Households without latrines (14.38%) defecate with neighbors (14.28%) in the open (66.67%) and in public latrines (19.05%). The same applies to wastewater from cooking, washing and dishwashing, which is most often dumped on the public highway (78.77%). Wastewater is a breeding ground for mosquitoes that cause malaria, which is the most common disease in the area. The results of this study show that wastewater and excreta are managed by most concessions in an unhealthy way and discharged into the environment. It is important to step up public awareness campaigns on the harmful consequences of poor wastewater and excreta disposal.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".