Commentary: Women’s Empowerment and Addressing Sexual and Gender-Based Violence in the DRC
Bibliographic record
Abstract
In the last two years, ethnically motivated sexual and gender-based violence rose in the Democratic Republic of the Congo (DRC), a country marked with ethnic-based tensions and conflict over the control of its extractive industries over decades. According to the 2018 Report of the United Nations Secretary General to the United Nations, sexualized violence cases emerged and spread in several provinces in 2017 with at least 804 cases of conflict-related sexual violence in this period, affecting 507 women, 265 girls, 30 men and 2 boys. Despite progress by the international community actors to end these abhorrent practices, this marks a significant increase from the previous year and the delay in national elections has exacerbated conflict. Both non-state actors and state actors are identified perpetrators of sexual violence, including the Congolese National Police.
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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 | 0.006 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.007 | 0.004 |
| Research integrity | 0.070 | 0.063 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".