Exposure to Violence and Attitudes Towards Transitional Justice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Transitional justice has emerged to address victims' needs as a means of restoring relations broken by violence. Yet we know little about victims' attitudes towards different transitional justice mechanisms. Why do some victims prioritize retributive justice while others favor other forms of dealing with the violent past? What determines victims' attitudes towards transitional justice policies? To address these questions, we offer a new theoretical framework that draws upon recent insights from the field of evolutionary psychology and links both war exposure and postwar environments to transitional justice preferences. We argue that both past experiences of wartime violence and present‐day social interdependence with perpetrators impact transitional justice preferences, but in divergent ways (resulting in greater support for retributive vs. restorative justice measures, respectively). To test our framework, we rely upon a 2013 representative survey of 1,007 respondents focusing on general population attitudes towards transitional justice in Bosnia two decades after the implementation of the Dayton Accords. Specifically, we examine the impact of displacement, return to prewar homes, loss of property, loss of a loved one, physical injury, imprisonment, and torture on attitudes towards transitional justice. On the whole, our findings confirm our two main hypotheses: Exposure to direct violence and losses is associated with more support for retributive justice measures, while greater present‐day interdependence with perpetrators is associated with more support for restorative justice measures. While acknowledging the legacy of wartime violence, we highlight the importance of the postwar context and institutional mechanisms that support victims in reconstructing their lives.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 0.001 |
| 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 it