Bibliographic record
Abstract
This article compares the essence and effects of Ethiopian and Sudanese state terrorism by focusing on the commonalities between the two states. These peripheral African states have used global and regional connections and state terrorism as political tools for creating and maintaining the confluence of identity, religion, and political power. Ethiopia primarily depends on the West, and Sudan on the Middle East, since Christianity and Islam are the dominant religions in these African states respectively. While the Ethiopian state was formed by the alliance of Abyssinian (Amhara-Tigray) colonialism and European imperialism, the Sudanese state was created by British colonialism known as the Anglo-Egyptian condominium. Massive social and cultural destruction and violence have produced and maintained these colonial political structures. These structures, in turn, have racialized identities by facilitating the processes of Abyssinianization and Christianization in Ethiopia, Arabization and Islamization in Sudan, and Africanization and marginalization of indigenous Africans in both states. Furthermore, each state has been involved in ethnonational cleansing, which has been disguised rhetorically as a move toward national self-determination and democracy. Consequently, the racialization and ethnicization of these states, external dependency, and domestic terrorism have prevented the implementation of national self-determination and the construction of legitimate multinational democracies that could solve the political, social, cultural, and economic crises in Sudan and Ethiopia.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".