Foreign aid and the rule of law: Institutional diffusion versus legal reach
Bibliographic record
Abstract
This paper examines the role of bilateral foreign aid in supporting the diffusion and enactment of common models and institutions of the rule of law among aid-recipient low- and middle-income countries. We ask whether aid targeted at security-sector reform and the rule of law influences the adoption of constitutional and legal reforms over time (institutional diffusion), and whether aid also supports more effective implementation of the rule of law, writ large (legal reach). We use event history and fixed-effects panel regression models to examine a sample of 154 countries between 1995 and 2013 to answer these questions. Our findings suggest that aid does increase the likelihood of adopting several rule of law reforms, but its effect on increasing the depth or quality of rule of law over time within countries is much less substantial. These findings suggest that though aid may play a role in supporting the diffusion of models contributing to state isomorphism among countries, it is less effective at increasing the pervasiveness and quality of such model's implementation. This discrepancy between the effectiveness of bilateral aid in promoting law on the books versus law in action in aid recipient countries calls into question the current approach to rule of law reforms.
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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 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| 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".