Data for How Peace Saves Lives: Evidence from Colombia
Bibliographic record
Abstract
The victimization of civilians and combatants during internal conflicts causes large socioeconomic costs. Unfortunately, it is not clear whether peace negotiations can significantly reduce this burden. One key reason is the lingering presence of antipersonnel landmines, which are hidden underground and remain active for decades. Looking at the recent experience of Colombia, we quantify the number of lives saved by the reduction of landmine accidents and study the institutional conditions under which peace agreements can significantly reduce landmine victimization. Our findings highlight the importance of: reduced counterinsurgency campaigns, post-conflict information sharing, comprehensive humanitarian mine clearance and mine risk management campaigns.
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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 | 0.004 | 0.033 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.007 |
| Open science | 0.037 | 0.030 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.041 |
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; both teacher heads agree on what is shown here.
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".