Authoritarian leaders and multiparty elections in Africa: How foreign donors help to keep Kenya's Daniel arap Moi in power
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
This article argues that prior accounts of Moi and KANU's re-election in Kenya's 1992 and 1997 polls overemphasise divisions within the opposition and underestimate the role of international actors. Drawing on interviews with central players and internal donor documents, the author demonstrates that aid donors played a central part not only in initially advancing the cause of multipartyism but subsequently also, on several occasions, actively impeding further democratisation. Donors twice knowingly endorsed unfair elections (including suppressing evidence of their illegitimacy) and repeatedly undermined domestic efforts to secure far-reaching political reforms, which were a prerequisite for an opposition victory and a full transition to democracy. In the face of anti-regime popular mobilisation, donors' primary concern appeared to be the avoidance of any path that could lead to a breakdown of the political and economic order, even if this meant legitimising and prolonging the regime's authoritarian rule.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it