Indicator-based rural water service sustainability assessment: a review
Bibliographic record
Abstract
Abstract The aim of this paper is to present the state of the art on the sustainability indices of rural water services in order to identify gaps in knowledge. The methodological approach used was to conduct online searches using the databases of Google Scholar, Web of Science, Pub Med, the International Water Association, and ResearchGate. Several indices have been identified in the literature including the Canadian Water Sustainability Index, Index of Drinking Water Adequacy, the Sustainable Water Governance Index, equity index in water and sanitation, WASH performance Index, Sustainable Water Management Index, and Index of water service quality. However, these indices do not provide an integrative, contextualized and prospective analysis of the sustainability of water services. In addition, these indices select only a few evaluation criteria deemed relevant. In other words, these indices choose to make visible certain phenomena and therefore make others invisible, according to the logic of action of each and to certain social compromises. These difficulties therefore encourage the development of a new index to provide an integrative, contextualized and prospective analysis of the sustainability of rural water services.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.013 | 0.019 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| 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".