Self‐Harm Focus Leads to Greater Collective Guilt: The Case of the <scp>U.S</scp>.‐<scp>I</scp>raq Conflict
Bibliographic record
Abstract
Collective guilt from harm one's group has caused an out‐group is often undermined because people minimize or legitimize the harm done (i.e., they generate exonerating cognitions ). When a group action has harmed both the in‐group and an out‐group, focusing people on “self‐harm”—ways in which the in‐group has harmed itself—may elicit more collective guilt because self‐harm is less likely to be exonerated. In Study 1, American participants who focused on how the invasion of I raq had harmed the U nited S tates expressed greater collective guilt over harm inflicted on the people of I raq than those who focused on I raqi suffering. Study 2 showed that this effect is due to reductions in exonerating cognitions among people focused on self‐harm. We consider the implications of these findings for intergroup reconciliation, particularly in situations where two groups have been involved in open conflict.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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".