Perpetrator groups can enhance their moral self-image by accepting their own intergroup apologies
Bibliographic record
Abstract
There is an implicit assumption that perpetrators' moral image restoration following an intergroup apology depends on absolution from victims. In this paper we examine whether perpetrators can in fact look to other ingroup members for moral pardon. In Studies 1 and 4, Australians read an apology to Indian people for a series of assaults on Indian nationals in Australia. In Studies 2 and 3, non-Aboriginal Australians were provided with apologies offered on their behalf to Aboriginal Australians. In each study participants were told that other perpetrator group members had either accepted or rejected the apology. In line with predictions, when perpetrator group members heard that fellow perpetrators accepted an apology made to victims they felt morally restored, and consequently were more willing to reconcile. Effects were largely unqualified by apology quality (Studies 2–4), and held in the face of victim group apology rejection (Studies 3–4). We demonstrate that perpetrator group members can effectively gain moral redemption by accepting their own apologies, even qualified ones that have proved insufficient to victim groups.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".