Rule of Law Reforms and Institutional Change Processes in Eastern DR Congo: Neo-institutional Economics vs <i>Multijuralism</i>
Bibliographic record
Abstract
Abstract In development approaches, the link between rule of law institutional reforms and economic development is theorized by neo-institutional economics (NIE). From an economic analysis of law, NIE interprets the institutional variable through its ability to reduce uncertainty. The analysis of the relationship between institutions and development then leads to the study of institutional and normative changes. In this context, authors are referring to path dependence theory in order to explain the recurrent failure of rule of law reforms. However, I will argue that while NIE, by referring to path dependence theory, acknowledges that reforms take place within a complex set of particularities, I suggest that the notion of multijuralism, elaborated by the French legal anthropologist Étienne Le Roy, is more appropriated to describe this set of particularities in an African context. Using empirical data collected during an anthropological study regarding women’s rights in Democratic Republic of Congo, we will see that normative changes usually occur on the margins of State institutions. In addition, the embedded norms considered by NIE immobile through time are actually much more fluid than it seems.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".