Gender and Transitional Justice: Explaining Global Trends
Bibliographic record
Abstract
ABSTRACT∞ In this article, we explore historical trends in gender-attentive transitional justice policies using a new global dataset of truth commissions, prosecutions and reparations policies. We find that gender was largely absent from these policies from 1970 through 1990 but that more attention to gender began in the 1990s and has been sustained since that time. Initial attention to gender focused primarily on violence against women; more recently, some limited attention to broader understandings of gender that include men, boys and LGBTQI+ individuals has started to appear. We argue that the early efforts of feminist activists in countries both in the Global North and the Global South to frame and set the global agenda on violence against women shaped when transitional justice policies became gender attentive and how these policies have diffused across countries. We argue that attention to female victims and physical gender violence is associated with a positive spillover, leading to broader attention to gender issues rather than crowding out attention to other gender harms.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".