Conflict and the conceptions of identities in the Sudan
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
My native Sudan has been ravaged by conflicts over identity and socioeconomic marginalization since independence from Britain in 1956. Elitist debates confined the country’s diverse identities to two dichotomous categorizations: Arabism, associated with Islam and Arabic descent and culture, and Africanism, linked to Christianity, indigenous beliefs and African culture. These polarized views, along with the dominant ideology of the imposition of Arabism and Islam as the basis of national identification, triggered a national identity crisis. This crisis contributed to the escalation of armed conflicts notably the civil war between the North and the South and the current conflict in the Sudan’s Western province of Darfur. This article explores the Darfur conflict which erupted between the central government and liberation groups in 2003, and has been described both as the first genocide of the 21st century and an ethnic cleansing in which the Arab militia are killing the Africans. Using data gathered recently in the Sudan, this article extends the debates on Sudanese identities by showing that the boundaries between Africanism and Arabism are fluid, and by positing multiple identities that resurface as a result of globalization, migration and social ties among ethnic groups. By deconstructing the dominant conceptions of the Sudanese identities, and considering new conceptions about these identities, we can address social dynamics that impact the conflict and take them into consideration when it comes to conflict resolution. Multiculturalism is proposed as a model that could help to accommodate the country’s diverse identities and foster stability.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| 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