Conflict prevention and early warning mechanisms in West Africa: A critical assessment of progress
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 The popular adage has it that ‘prevention is better than cure’. Given the heavy and enduring costs of armed conflicts, there is no disputing the fact that making efforts to prevent them from breaking out in the first place is better than waiting until it is too late. This entails two things: conflict prevention measures and early warning systems. Anything that could be done to effectively address the root causes of a conflict before it turns violent may fit into the former, while the latter aims to identify threats to these elements so that effective conflict prevention measures can be taken. In other words, ensuring ‘human security’ is the thrust of the former, while the latter serves as a surveillance camera for any deficit in providing the different components of this ‘human security’. It is with these two important issues that this essay deals, with particular reference to West Africa.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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