The Mediating Role of Perceptual Validation in the Repentance–Forgiveness Process
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This research focuses on one potential mechanism by which repentance leads to forgiveness. Two studies demonstrate that repentance leads to increased perceptual validation (social verification that one is correct about one's interpretation of an event) and, ultimately, more forgiveness. Participants reported more perceptual validation when they received repentance than when they did not (Studies 1 and 2), particularly repentance that included an acknowledgement of the transgression and the harm done (Study 2). In addition, in Study 2, acknowledgement of the transgression by a third party also had a positive effect on forgiveness. There was evidence that perceptual validation mediated the repentance-forgiveness relationship. These findings suggest that repentance facilitates forgiveness, at least in part, because it makes victims feel validated.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it