Managing Chaos in the West African Sub-Region: Assessing the Role of ECOMOG in Liberia
Bibliographic record
Abstract
The West African sub-region is a troubled region with Liberia as the epicenter of most of the conflicts currently raging on in that region. This piece is an assessment of ECOWAS' efforts to bring peace to Liberia. The focus of the study is the ECOMOG's intervention in Liberia from 1990 to 1997. We argue that the course of ECOWAS diplomacy in Liberia was fraught with problems and growing pains; the result of a lack of a cease-fire on the ground before the force was deployed; the absence of a clear and enforceable mandate and divisive regional power politics and the absence of the much expected American leadership. These shortcomings notwithstanding, ECOMOG's efforts in Liberia have helped the region as a whole. The net result has been a rapid but positive learning experience for the peacekeeping nations of West Africa, improved regional stability and an emerging regionally based conflict management capacity.
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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".