Realizing the African Standby Force as a Pan-African Ideal: Progress, Prospects and Challenges
Bibliographic record
Abstract
It is commonly accepted that there is a pressing need for African and other role-players to register progress on the need to address, manage and resolve conflicts around the troubled continent. The African Union made significant progress in the development of a cohesive African peace and security system in 2003 when African Chiefs of Defense Staff agreed on the modalities of an African Standby Force (ASF). The ASF concept seems to represent a serious intention on the part of African leaders to set up a multi-national force empowered to intervene militarily in conflict situations. It is also significant as the establishment of such a force will be the manifestation and development of a long-standing pan-African ideal to mobilize a standby (peacekeeping) force on the continent. In brief, the main aim of this paper is to outline, assess and discuss the rationale and some of the key elements for establishing and developing the ASF, and also to reflect on some of the challenges of implementation.
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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 | 0.013 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.009 | 0.014 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".