Prospects for Accessing Justice for Sexual Violence in Liberia’s Hybrid System
Bibliographic record
Abstract
This paper explores the prospects of complementary rather than competitive dispute resolution and justice systems in Liberia. It specifically considers women’s access to justice in relation to sexual and gender-based violence (SGBV), which remains prevalent in the post-conflict period, and in the context of a highly hybridised justice system. While the formal system has made great progress in reforming laws and institutions but is vastly under-resourced. Informal and traditional systems are widely considered more accessible and affordable. They are, however, also susceptible to corruption and co-option, and the state’s oversight and curtailing of specific conflict resolution and punishment practices is considered to have rendered these systems less effective. Significantly, some cultural and traditional practices are themselves considered to facilitate and promote SGBV. These factors make complementary systems an imperative while working to address the deficiencies of both systems.
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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 | 0.002 | 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 | 0.000 |
| 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".