Are cash transfers a realistic policy tool for poverty reduction in Sub-Saharan Africa? Evidence from Congo-Brazzaville and Côte d’Ivoire
Why this work is in the frame
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Bibliographic record
Abstract
This article uses evidence from two contrasting African countries, a middle-income oil producer (the Republic of Congo) and a low-income country (Côte d’Ivoire), on the potential role of cash transfers as instruments for poverty reduction and human development. Quantitative simulations of the targeting efficiency, impacts, cost, cost-effectiveness and affordability of different cash transfer options are combined with analysis of political and administrative feasibility. The analysis finds that cash transfers would have more impact on monetary poverty reduction than on human development, while a major practical challenge is to target efficiently in a context of mass poverty. Large-scale cash transfers could be financed domestically in Congo, but this is unlikely in Côte d’Ivoire, and political support is weak in both countries.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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