Perceived Excessiveness of Compensation Demands from Victimized Groups and its Consequences for Collective Guilt and Ingroup Forgiveness
Bibliographic record
Abstract
This series of studies examined the consequences of perceived excessiveness in demands for compensation on ingroup forgiveness, via reductions in collective guilt. It was hypothesized that when Canadian Aboriginals were perceived as making demands that were excessive relative to the past harms they endured at the hands of Non-Aboriginal Canadians, it would result in reduced collective guilt on the part of the offender group (Non-Aboriginal Canadians), allowing them to grant greater ingroup forgiveness. It was expected that this relationship would occur as a function of political orientation; specifically, that increased excessiveness of the demands would undermine the collective guilt liberals typically experience. Two pilot studies and one main study were conducted to test this model. Results revealed a non-significant moderated mediation, but found evidence that excessive demands may promote collective guilt in conservatives who typically do not report feeling collective guilt. These findings have positive implications for promoting intergroup reconciliation.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".