Social Protection Implementation Issues in Ethiopia: Client Households’ Perceived Enablers and Constrainers of the Productive Safety Net Program
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
Social protection programs need to be suited to the specific context within which they are implemented. To minimize barriers and constraints in implementation, program design needs to integrate and respond to the views of client households and potential beneficiaries, ideally with on-going feedback mechanisms to better respond both to constrainers and to enablers. In order to provide evidence regarding constrainers and enablers in Ethiopia’s safety net program, we conducted a household survey to assess policy-backed efforts for social protection service delivery. This paper outlines client households’ perceived enablers and constrainers regarding the implementing of the Productive Safety Net Program, Africa’s second largest safety net. The findings suggest that client households have identified enablers and constrainers from their lived experience that could be used as a feedback mechanism and as input for future program design. The findings could foster better outcomes in program implementation.
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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 | 0.000 |
| 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