From Guerrillas to Government: post-conflict stability in Liberia, Uganda and Rwanda
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Post-conflict stability remains an elusive goal for many African countries. The political and socioeconomic preconditions of African civil wars have often persisted after the end of open hostilities and have frustrated regional and international efforts at peace building. The growing role of non-state armed groups in post-conflict governments raises further questions on the important role of guerilla groups in either exacerbating or ameliorating the ‘structural’ preconditions of protracted African wars. The cases of Liberia, Uganda and Rwanda offer important insights on the complex interplay between armed groups and governments that underlie these conflicts. All three countries have been marked by devastating civil wars and the subsequent formation of post-conflict governments led by respective insurgent groups, but only Rwanda and Uganda have made any effort to mitigate the conditions that ultimately led to intra-state violence and state collapse. While the conflict dynamic may heavily condition an insurgent group, these factors alone do not play a determining role in the success or failure of peace building efforts.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 it