Peaceful Returns: Reversing Ethnic Cleansing after the Bosnian War
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
Abstract This article questions the conventional wisdom which claims forced migration is irreversible following massive ethnic cleansing campaigns, by investigating durable returns to pre‐conflict home communities in Bosnia‐Herzegovina. We formulate a set of novel hypotheses on the demographic determinants of return as well as on the role of social capital, nationalist ideology, integration, and war victimization. We use a 2013 Bosnian representative sample with 1,007 respondents to test our hypotheses. The findings support the expectation that gender and age have a major impact on return. Net of other factors, women and those experiencing wartime victimization are less likely to return. Older Bosnians with positive memories of pre‐conflict interethnic relations are more likely to return than younger persons or those with negative memories. Finally, ethnic Bosniacs are more likely to return than ethnic Croats or Serbs. More nationalistic internally displaced persons ( IDP s) are less likely to return.
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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 | 0.001 | 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 | 0.000 |
| 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 it