Bibliographic record
Abstract
Despite the improved international architecture for the prediction, prevention, and punishment of mass atrocities since the Rwandan Genocide 20 years ago, the fate of Sudan’s Nuba people has been overlooked. Since May 2011, the Nuba have been under attack by the Sudanese regime, which has been using the same tactics it employed to devastating effect during the 1990s. However, problematic Arab-Islamic views of the Nuba go back centuries, to the slave trade. The international community’s attention to continuing human rights abuses in the Nuba Mountains has been inconsistent and easily deflected onto low-level hostilities between South Sudan and Sudan. Meanwhile, Sudan has rallied regional leaders, defying the International Criminal Court’s indictment of President al-Bashir. The United States and United Kingdom, guarantors of the 2005 Comprehensive Peace Agreement (CPA), have declined to press Khartoum to fulfill its obligations under the CPA, to enact constitutional reform, or to cease bombing the Nuba for fear that a Sudanese Arab Spring might bring unknown actors to power in Khartoum.
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.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.014 |
| Scholarly communication | 0.007 | 0.013 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".