The big fish won't fry themselves: Criminal accountability for post-election violence in Kenya
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 examines the demand for criminal accountability for the atrocities committed after Kenya's contested December 2007 elections. It explains why, despite strong popular desire for accountability through prosecutions and the threat of and actual International Criminal Court (ICC) involvement, the government has failed to take concrete steps to try those believed primarily responsible. The article argues that the fundamental reason why the government has not initiated systematic prosecutions in regular domestic courts – or created, as promised, a hybrid national/international tribunal – is that those in charge of establishing these processes are, in many cases, those whom it would prosecute or their close allies. A hybrid tribunal now seems unlikely and credible national trials are an improbable alternative, though there are some reasons to be more optimistic following the new constitution of 2010. For the time being only international justice, which is beyond the government's reach, can achieve a breakthrough in criminal accountability, albeit in a very limited way.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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