Consolidating Malawi's Democracy? An Analysis of the 2004 Malawi General Elections
Bibliographic record
Abstract
Malawi held general elections in May 2004, at which the country's third post-independence president, Bingu wa Muntharika, was elected. This article analyses the pre-election period, during which the incumbent Bakili Muluzi attempted to amend the constitution to enable him to serve a third term in office. After these attempts were unsuccessful, the ruling party then went on to campaign with Muntharika as its main candidate. The article argues that the differences among Malawi's main parties are small, and were in any case not well communicated to the electorate. The key factors influencing voting decisions were thus party propaganda and the personal attributes or geographic origins of the party leaders. The paper also notes that the elections were marred by low voter turnout and logistical problems. Various problems are discussed, such as the difficulty of an elected president whose party only holds around a quarter of the seats in Parliament. These results have implications for the legitimacy of the president and the government, and point to a fragmentation of popular support in Malawi. The election results reveal a growing maturity in Malawi's democracy and among its voters.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".