Process cost analysis for the optimization of a container-based sanitation service in Haiti
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A process cost analysis methodology was developed to calculate the per capita operational costs of the container-based sanitation service in Haiti operated by the non-profit research and development organization Sustainable Organic Integrated Livelihoods (SOIL). SOIL’s sanitation service covers the entire sanitation value chain, including containment, collection, transport, treatment and reuse. The results showed that around 30% of the service’s operational costs were covered with operating revenue. The researchers then used the detailed results to identify productive areas for cost reduction and further innovation. Findings also contributed to the development of a hybrid funding model that will enable increased access to sanitation while building relationships with public institutions and reinforcing a business mindset to encourage cost-effectiveness with scale.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it