One Village, One Dam and development politics in northern Ghana
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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