Assessing the effectiveness of water and sanitation sector governance networks in developing countries: A policy analysis framework
Why this work is in the frame
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Bibliographic record
Abstract
In developing countries, water and sanitation services for rural and peri-urban areas often are provided by networks comprised of governmental and non-governmental actors. The resulting governance systems are rarely evaluated, in part because the methods to do so are complex and unclear. This paper builds on network governance theory to (a) propose a new framework for the assessment of the effectiveness of Water and Sanitation governance networks in developing countries and (b) apply it through field research in Honduras. Network theory suggests that, since the sum of the network is greater than its individual parts, the effectiveness of a network should be evaluated based on the performance of the overall network rather than that of its individual network actors. The proposed assessment framework starts with this premise and evaluates overall network effectiveness in the four stages of the policy process: policy development; policy decisions; implementation; and monitoring & evaluation. For the case of Honduras, performance indicators were specified for each policy stage, and an assessment conducted of the overall network's performance. Key findings from the assessment relate to the importance of metagovernance coordination functions, dramatic expansion of services, and key gaps in network integration. The research, and the assessment framework, will be of interest to those concerned with the effective delivery of basic services, particularly to secondary cities of the developing world where, as in Honduras, governance network commonly provide services and data for assessment are not yet compiled.
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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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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