Non-South African SADC Navies and Maritime Security in the Post-Cold War Era
Bibliographic record
Abstract
This chapter analyses the state of non-South African (SA) Southern African Development Community (SADC) navies and related maritime security capabilities since the end of the Cold War and apartheid eras with special focus on Angola and Mozambique. It discusses the challenges and prospects facing these non-SA SADC navies in fulfilling their mandates. The chapter makes three conclusions. First, a holistic rather than a strictly security-based approach to maritime security is required. Second, the SADC member-states, especially coastal ones, need to assume larger roles and duties and ease the burden on South Africa alone for a truly regional and effective maritime security strategy to be seen to be in force. Lastly, SADC countries’ defence budgets should be proportionately expanded to meet the demands and costs of maintaining an effective navy capable of ensuring maritime security.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 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".