Crimes of the Past: Defensive Temporal Distancing in the Face of Past In-Group Wrongdoing
Bibliographic record
Abstract
Relegating past in-group transgressions to ancient history might deflect threat to collective identity. Germans (but not Canadians) judged the Holocaust to be more subjectively remote in time when they read only about German-perpetrated atrocities than when this threat was mitigated. Greater subjective distance predicted lower collective guilt, which, in turn, predicted less willingness to make amends (Study 1). Distancing under threat was more pronounced among defensive Germans who felt unjustly blamed by other nations (Study 2). In Study 3, the authors examined the causal role of subjective time. Nondefensive Germans induced to view the Holocaust as closer reported more collective guilt and willingness to compensate. In contrast, defensive Germans reported less collective guilt after the closeness induction. Taken together, the studies demonstrate that how past wrongs are psychologically situated in time can play a powerful role in people's present-day reactions to them.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".