SECURITY EDUCATION IN AFRICA: PATTERNS AND PROSPECTS
Bibliographic record
Abstract
This article is part of a larger study exploring global patterns of security education, in order to enhance the collaborative pursuit of security by the majority of the world’s countries. We draw on interviews at multinational training events, site visits and open sources. Here we describe general patterns of police, gendarme and military education in Africa, with particular attention to university-like institutions. This leads us to focus on mid-career military staff colleges as the most likely venues for building communities of educated professionals to enhance security. We identify states in each region with the greatest potential to play a leading role in the development of knowledge addressing new security challenges. South Africa, Nigeria and Kenya have obvious educational potential. Good governance and national policies are more important than size and wealth, and this suggests that smaller states like Senegal and Botswana could make important contributions. Mechanisms contributing to regional security communities include the African Peace and Security Architecture, career incentives, innovation, and regional training centres. Understanding the patterns of security education lays the groundwork to understand innovation, diffusion and the influence of the content of security of education.
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.
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 | 0.004 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".