Finding the Roads to Justice? Examining Trajectories of Transition for Internally Displaced Women in Colombia
Bibliographic record
Abstract
Colombia’s transitional justice provisions for victims and women in particular, have attained global best practice status. What will be the real impact for victims of the civil war? How can the rule of law help Colombia find the roads to justice? Based on a 2010–2014 in-depth, multi-method study of the legal mobilization strategies of displaced women’s organizations, we argue that the examination of women’s transitional justice should not be reduced to an assessment of the implementation of a sophisticated and celebrated legal and political framework. We suggest that a possible way of developing a more complex transitional justice narrative is to examine what the turn to transitional justice is a shift from: by highlighting the temporal and temporary aspects of laws, legal institutions and legal identities in the Colombian armed conflict, we can achieve a better understanding of what previous legal transitions have meant for this particular group of victims. We suggest that this approach can be useful for developing analytical perspectives for appraising how the post-conflict framework plays out for victims.
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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 | 0.003 | 0.001 |
| 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 | 0.001 | 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".