The Rwandan agrarian and land sector modernisation: confronting macro performance with lived experiences on the ground
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
ABSTRACT Rwanda has embarked on an ambitious policy package to modernise and professionalise the agrarian and land sector. Its reform fits into a broader call – supported by major international donors – to implement a Green Revolution in Sub-Saharan Africa. After 10 years of implementation, there is increased production output and value-addition in commercialised commodity chains. These are promising results. However, poverty reduction, particularly in more recent years, seems limited. Moreover, micro-level evidence from the field calls into question the long-term sustainability of the agricultural and land sector reform. In this article, a group of researchers, having engaged in in-depth qualitative research in a variety of settings and over an extended period, bring together their main research results and combine their key findings to challenge the dominant discourse on Rwanda as a model for development.
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 | 0.000 |
| Science and technology studies | 0.001 | 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