Reforming Village-Level Governance via Horizontal Pressure: Evidence from an Experiment in Zimbabwe
Bibliographic record
Abstract
How can patrimonial local-level governance be reformed? Debates on this topic have focused largely on the possibility of reform via pressure from above (superordinate leaders) or below (citizens). This paper tests whether horizontal pressures from civil society leaders can reform local governance in a context where neither of these mechanisms operates effectively. The study analyzes an experimental intervention in Zimbabwe intended to reduce abuse of power by village heads. Analytic leverage comes from the fact that the 270 study villages were randomly assigned to two variants of the intervention, one in which only village heads were trained on the framework governing village leadership, and one in which civil society leaders were trained alongside village heads. The results suggest that horizontal pressure from civil society leaders increased village heads' knowledge of and compliance with regulated procedures, improved their management of issues and raised citizens' trust in their leadership. A quantitative and qualitative analysis of the mechanisms through which the trained civil society leaders had these effects suggests they accomplished reform by directly applying social pressure on village heads to abide by regulations.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".