Kenya's uncertain democracy: the electoral crisis of 2008
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
1. Democratic Recession: Violence and Power-Sharing in Kenya Peter Kagwanja, Africa Policy Institute & University of Pretoria and Roger Southall, Wits University 2. The Politics of Displacement in Multi-Party Kenya Priscah Kamungi, Centre of Conflict Studies, University of Nairobi 3. Resource-Based Conflict and Kenya's Electoral Crisis in 2008 Rutten Marcel, African Studies Centre, Leiden The Netherlands 4. Kenya's Political Militias Peter Kagwanja, API and U 5. Donor Politics and the 2008 Kenyan Crisis Monica Juma, Africa Institute of South Africa, Pretoria 6. Mediating Electoral Crisis: The African Union and the 2008 Kenyan Crisis Stephen Brown, School of Political Studies. University of Ottawa 7. Regionalism and Conflict: Lessons from the Kenyan Crisis Gilbert Khadiagala, University of Wits, South Africa
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 it