One Village, One Dam and development politics in northern Ghana
Bibliographic record
Abstract
To increase water access in Ghana’s arid, northern agricultural communities, the Ghanaian government initiated the One Village, One Dam (1V1D) project in 2017. Under 1V1D, the government planned to construct or repair over 570 small-scale dams across northern regions, where water scarcity and social-ecological vulnerabilities are particularly high. This research examines implications of 1V1D in one rural agricultural community. We interviewed 29 community members and state officials in the Upper East Region to understand how 1V1D was rolled out, and implications for farmers. Our findings reveal that while state officials asked for community input and participation, community knowledge was ultimately sidelined for outside ‘experts.’ Furthermore, the dam has not met community members’ expectations and is not used for dry season farming. We situate these findings in a long history of water and development in northern Ghana and argue that development projects must move beyond recent party politics to truly incorporate local people’s insights and experiences in participatory development projects.
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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 | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".