Developing Robust Cyber Warfare Capabilities for the African Battlespace
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
The evolution of technology in the African battlespace continues to pose a significant challenge to the African militaries. This evolution increases the need for the African militaries to be able to operate in the cyberspace strategically and effectively. Developing cyber warfare capabilities remains a challenge to many African militaries who are struggling to remain afloat due to ever decreasing resources, including budgets. This in turn reduces the effect of these militaries in the evolving battlespace. This paper seeks to present a comprehensive framework for developing cyber warfare capabilities for African militaries to be able to operate efficiently in the cyber battlespace. The proposed POSTEDFIT aligned framework, requires a comprehensive system thinking approach towards developing capabilities in a phased manner. This includes the ability to define the capabilities in terms of the requirements presented by the cyberspace, and the components forming these capabilities. The generic framework is based on the basic understanding of a capability, as the ability to do something, in this case, the ability to secure and operate in the cyberspace for African militaries, ability to conduct offensive cyber operations and ability to keep abreast with the evolving cyber battlespace.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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