Malawi's presidential elections in 2004: between trickery and sincere ambitions
Bibliographic record
Abstract
Situated in southern Africa with a territory of which a quarter is made up of a lake with the same name and sandwiched between Mozambique, Tanzania and Zambia, Malawi, an English-speaking country, has always received little attention from French-speaking African studies scholars. Yet the history of the country, which was profoundly marked for several decades by the grip of its totalitarian leader, Dr. Banda, has definitely followed a rather original course compared with other countries of the sub-region. The presidential and legislative elections held there in May 2004 therefore need to be analyzed with these special historical circumstances in mind. However, one finds, as in every other country where democratic gains are being consolidated, the same outline of the challenges and difficulties of political succession in institutionally democratic settings. It is, in particular, through the example of the fight against corruption, currently a hot topic in Africa, that these challenges and difficulties are most visible.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".