Competition, Patronage and Fragmentation: The Limits of Bottom-Up Approaches to Security Governance in Ituri
Bibliographic record
Abstract
People are affected by different kinds of insecurity in the Ituri Province in the northeastern region of the Democratic Republic of Congo (DRC). This article investigates donor-driven attempts to improve security governance there. More specifically, it investigates bottom-up approaches to security governance in Ituri’s capital of Bunia and in Irumu territory. Whereas in Bunia people are faced with high levels of violent crime, Irumu is the site of a violent conflict between the Ituri Patriotic Resistance Force (FRPI), an armed group connected to the Ngiti community, and the Congolese army. Involving local non-state security actors in security governance is perceived by international and national actors as a pragmatic way to improve security conditions. However, we show that these bottom-up security governance initiatives have not succeeded in resolving the issues that generate insecurity. We argue that this is because the drivers of insecurity in northeastern Congo are translocal and too complex for localised bottom-up approaches to significantly change the status quo.
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".