Empowerment versus charity in bringing microflush toilets to the poor: Sustainable local economies for the common good
Bibliographic record
Abstract
The GSAP (Grand Challenges Explorations Award) Microflush toilet system, a locally sourced-locally fabricated toilet that features a macro-organism enhanced aerobic filter-digester and an innovative valve that flushes on just 150 cc of water has proven to be an effective sustainable sanitation solution for developing world tropical communities. This sustainable, locally sourced, locally fabricated technology has been deployed in 18 countries around the world through trained MAKERs creating for them a local business opportunity. The household toilet averages $300 of which $100 is profit for the MAKER. For the lowest income quintile households, a microloan is often required to effect toilet ownership and, when such credit is unavailable or inaccessible, GSAP's LENDER model, operated by the MAKER or by another community player becomes a viable solution. Recent data from this intervention suggests a more powerful investment model to empower multiple local MAKERs with a sustainable sanitation credit fund (SANCRED). GSAP's SANCRED approach as it evolved from its LENDER model is described. Early experience with essential elements of the model deployed with teams of Maasai women MAKERs is presented. The potential of the models, which emphasize economic development for the common good, solving the menacing condition of sanitation in the world and meeting Goal #6 and several others of the UN Sustainable Development Goals (SDGs) are noted.
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".