A social business model for the provision of household ecological sanitation services in urban Haiti
Bibliographic record
Abstract
Traditional sanitation alternatives like pit latrines or sewerage systems are often unsafe, economically infeasible or inappropriate for low-income populations living in urban areas characterized by lack of infrastructure, high population density, a high groundwater table, and a subsequent lack of waste treatment.Since 2012, SOIL has launched a household ecological sanitation service, called EkoLakay, in several urban areas in Haiti.This program is showing promising results in providing a sustainable, attractive, and affordable sanitation solution for urban households.Customers pay a monthly fee of $4-$5 that covers the installation of the toilet and the weekly waste collection.Waste containers are brought to a SOIL composting waste treatment facility where the wastes are safely treated and transformed into a nutrient-rich compost.As of March 2016, Ekolakay serves 721 households, or 4000 users, in Port-au-Prince and Cap-Haïtien, and demand for the service continues to grow.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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".