The lives of others: Third parties’ responses to others’ injustice.
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 takes a moral perspective to studying third parties' reactions to injustice as a function of their moral identity. Drawing from theories of deontic justice, moral intuition, moral heuristics, and moral identity, we develop and test a model of the moral underpinnings of third parties' reactions to injustice. First, we compare third parties' responses with interpersonal, distributive, and procedural justice violations. We hypothesize that third parties are more likely to intuit that interpersonal justice violations are morally wrong, compared with distributive and procedural justice violations. As a result, third parties are more likely to experience stronger moral anger and punish violators in response to interpersonal transgressions compared with distributive and procedural justice transgressions. Second, we test the proposition that third parties with a strong moral identity will react more strongly to justice violations than third parties with a comparatively weak moral identity. Results from 3 studies support these predictions.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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