Apologies Repair Trust via Perceived Trustworthiness and Negative Emotions
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
The present study examined whether perceptions of a transgressor’s trustworthiness mediates the relationship between apologies and repaired trust, and the moderating role of negative emotions within this process. Chinese undergraduate students (N= 221) completed a trust game where they invested tokens in their counterpart, and either experienced no trust violation (i.e., half of the tokens returned), a trust violation (i.e., no tokens returned), or a trust violation followed by an apology. Participant’s trust behavior was measured by the number of tokens they re-invested in their counterpart in a second round of the game. Participants also completed measures to assess perceptions of the transgressor’s trustworthiness and emotional state. Results revealed that participants who received an apology were more likely to trust in their counterpart, compared to those who did not receive an apology, and this relationship was mediated by perceptions of the transgressor’s trustworthiness. Further, the relationship between apologies and perceptions of the transgressors trustworthiness was moderated by negative emotions; apologies only improved perceptions of trustworthiness for participants who experienced less negative emotions.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it