Interrelationship Among Injured Parties' Attributions of Responsibility, Appraisal of Appropriateness to Forgive the Transgressor, Forgiveness, and Repentance
Bibliographic record
Abstract
The purpose of this research was to examine the interrelationship among attributions of responsibility, repentance, victims' appraisal of the appropriateness of forgiving the transgressor, and forgiveness. It is argued that an injured party's appraisal of how appropriate it is to forgive the transgressor is important in understanding discrepant theoretical and empirical observations regarding the relationship between responsibility judgments and forgiveness. In one nonexperimental/naturalistic study and 2 experiments, we confirmed predictions that responsibility attributions would positively relate with a victim's appraisal of how appropriate it is to forgive the transgressor, and negatively with forgiveness. In addition, all 3 studies confirmed that a victim's appraisal of the appropriateness to forgive the transgressor explains the relationship between responsibility judgments and forgiveness.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".