VIOLENCE AGAINST WOMEN IN SOUTH SUDAN: CAUSES AND HEALTH IMPLICATIONS.
Bibliographic record
Abstract
Violence is an attack on someone by another person else, often to get the person do something he does not want to do by making that particular person feel pain or fear.Violence can also mean anything from a group of people hitting another group to cause a fight between two or many communities or countries that likely may cause thousands of deaths.Violence against women in South Sudan has been the order of the day more especially in 2013 and 2016 when hostilities broke out between forces loyal to the President and those loyal to the Vice President.Women and girls including some men were terribly sexually abused by the security forces from both sides.This study undertakes to critically examine violence perpetuated against women in South Sudan, its causes and the health implications on victims.The study will equally proffer solutions and recommendation of how these atrocities could be minimized if not completely stopped.The study would be of great help to researchers, students, health workers, the South Sudan government, churches, teachers and the humanitarian organizations, both international and local.
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".