Composting Latrines and Community-led Sanitation Solutions in Rural Nicaragua
Bibliographic record
Abstract
Safe sanitation services are a basic human right, yet almost half the world's population lacks them. The traditional on-site sanitation solutions require properfecal sludge management to avoid health risks. Composting latrines, on the other hand, are a promising and waterless solution that can also sanitize waste for potential use as fertilizer. However, implementing organizations and agencies have yet towidely adopt these toilets due to high costs, low user adaptability, and acceptance rates. Drawing from the experiences of four community groups in Nicaragua, this article explores the impact of composting latrines for rural and peri-urban families. Following community-led processes, these groups successfully implemented and sustained their composting latrine initiatives since 2010, providing initial evidence of how, where, and why their interventions have been successful. Keywords: fecal sludge management, composting latrines, community-led development, sanitation sustainability, community-led sanitation ____________________________________________________________________ Latrines à compostage et solutions d’assainissement communautaires dans les zones rurales du Nicaragua RésuméDes services d'assainissement sûrs constituent un droit humain fondamental, mais près de la moitié de la population mondiale en est privée. Les solutions traditionnelles d'assainissement sur site nécessitent une bonne gestion des boues fécales pour éviter les risques sanitaires. Les latrines à compostage, en revanche, sont une solution prometteuse et sans eau qui peut également assainir les déchets pour les utiliser potentiellement comme engrais. Cependant, les organisations et agences de mise en œuvre n’ont pas encore largement adopté ces toilettes en raison de leurs coûts élevés, de la faible adaptabilité des utilisateurs et des taux d'acceptation. S'appuyant sur les expériences de quatre groupes communautaires au Nicaragua, cet article explore l'impact des latrines à compostage pour les famillesrurales et périurbaines. En suivant des processus menés par la communauté, ces groupes ont mis en œuvre et soutenu avec succès leurs initiatives de latrines à compostage depuis 2010, fournissant ainsi des premières preuves de comment, où et pourquoi leurs interventions ont été couronnées de succès. Mots clés : gestion des boues fécales, latrines à compostage, développement mené par la communauté, durabilité de l'assainissement, assainissement mené par la communauté
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".