Innovating <i>Imihigo</i> : a decentralisation and indigenous governance mechanism in Rwanda
Bibliographic record
Abstract
Imihigo, Rwanda’s flagship performance barometer, is praised for its cultural innovation while being criticised for instrumentalising the regime’s international credibility. Both views gloss over several thematic points, including the strategic self-criticism Imihigo affords. We triangulate fieldwork data collected from local government actors and non-state agents in four districts with secondary data to analyse the quotidian strategies undergirding the spread of, and governance responses to, Imihigo. Our analysis demonstrates three key points. First, the decentralisation reform offers the requisite institutional backdrop for officials to articulate Imihigo as a cultural innovation for local governance and regime legitimacy. The state’s reasonable support for Imihigo incentivises local service delivery, although this is used by the regime to control the local arena. Consequentially, Rwandans’ interest in Imihigo frames a forum for official criticism. Our study shows a paradoxical use of cultural and modern norms for contemporary governance through a strong state committed to producing results.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".