The War Trauma and Mental Health Challenges for South Sudanese Men in the Diaspora
Bibliographic record
Abstract
Untreated trauma has long-term consequences on people affected by traumatic experiences such as war and displacement. South Sudan is a country affected by a long civil war that left many people affected by trauma and mental health. The impact of trauma and mental health is an unresearched area within the South Sudanese population. This study examined the existing literature about the trauma and mental health issues of the South Sudanese men living in the diaspora. The consequences of post-traumatic stress disorder are very visible among individuals and families of the South Sudanese people living in the diaspora. The hostilities of the civil war did not stop the moment South Sudanese veterans ceased fire and fled their home country; the trauma and painful experiences lived beyond the final days of fighting. As a result of civil war, many families and individuals were displaced to refugee camps, and some migrated to Western countries such as Australia, Canada, New Zealand, the United States, the United Kingdom and others. These families and individuals are still in the settlement phase in Western countries. During the settlement period, research, healthcare, social services and community conversations centre on settlement challenges and visible challenges and struggles, such as socio-economic, employment, language barriers and support, while little attention is given to the invisible effects of war-related trauma, especially among men.
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How this classification was reachedexpand
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 | 0.004 | 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 | 0.012 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".