Twenty years later, the cognitive portrait of openness to reconciliation in Rwanda
Bibliographic record
Abstract
With this work, we intended to draw a cognitive portrait of openness to reconciliation. No study had yet examined the potential contribution of high-level cognitive functioning, in addition to psychological health, to explaining attitudes towards reconciliation in societies exposed to major trauma such as post-genocide Rwanda. We measured the contribution of general cognitive capacity, analytical thinking, and subjective judgements. Our results show that higher cognitive capacity is not associated with greater openness to reconciliation. On the other hand, proneness to think analytically about the genocide predicts more favorable attitudes towards reconciliation. The latter effect is associated with more tempered judgements about retrospective facts (e.g., number of genocide perpetrators) and prospective events (e.g., risk of genocide reoccurrence). This work establishes the importance of cognitive functioning in the aftermath of political violence: A better understanding of the influence of information processing on openness to reconciliation may help improve reconciliation policies and contribute to reducing risks of conflict reoccurrence.
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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 | 0.002 | 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".