I and my friends are good people: The perception of incivility by self, friends and strangers
Bibliographic record
Abstract
Three studies were conducted to assess self-serving biases in participants' beliefs about incivility, its antecedents and consequences as well as restitution behaviors and forgiveness as a function of whether a behavior was performed by themselves, strangers or friends. Participants who imagined themselves in the active role not only described their own behavior as more excusable, congruent with an actor-observer bias, but more importantly, they showed strong self-serving biases with regard to all their reactions to the situation - even though this leads to logical contradictions. This self-serving expectation generalized to friends and contrasted sharply with expectations for strangers, whose behaviors were described as logically consistent. The difference between what is expected from self and friends and what is expected from others may account for much of the popular moral outrage at incivility in various social realms.
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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 | 0.001 | 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 | 0.000 |
| 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 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".