The Kenyan Truth, Justice and Reconciliation Commission
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
Kenya's Truth, Justice and Reconciliation Commission (TJRC) presented its long-delayed final report to President Uhuru Kenyatta.In four thick volumes, the commission synthesized and interpreted information gathered over the past four years regarding gross human rights violations and historical injustices in Kenya.The Report presents damning indictments of the governments led by each of Kenya's first three presidents, Jomo Kenyatta, the current President's father, Daniel arap Moi, and Mwai Kibaki, finding individuals and organizations in each administration responsible for assassinations, mass human rights violations against groups and political opponents, as well as wide scale corruption and economic crimes.Furthermore, it documents "state sanctioned systematic discrimination" against women and girls. 2 It recommends prosecution of 32 named individuals; an additional 33 people should be banned from holding public office; and government should begin investigations into allegations against a further 229 individuals and 12 1 This paper is based on a paper presented at the International Studies Association Annual Convention in San Diego, CA in 2012.The author
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 | 0.002 | 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 | 0.001 | 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