Development of Unconstitutional Change of Government under the Malabo Protocol – From Prohibition to Over-Criminalisation?
Bibliographic record
Abstract
Abstract Post-colonial Africa has been caught in military coups and civil wars. Incumbent leaders have refused to step down and hand over power post-elections or amended the constitution to not get voted out of power. In this context, three main challenges to democracy in Africa are military coups, lack of free and fair elections and illegal constitutional amendments to entrench de facto monarchy. To combat this, the Malabo Protocol, which introduces criminal jurisdiction of the African Court of Justice and Human Rights, criminalises unconstitutional change of government (‘UCG’). The article outlines the progression of UCG from a violation of the democracy and rule of law principles under the African Charter to a prosecutable crime under the Malabo Protocol and analyses the difficulties an actual prosecution will face on account of vague definition, lack of international recognition and the major roadblock due to Heads of State immunity under the Protocol.
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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 | 0.026 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.022 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".