Coping With Threats to Just‐World Beliefs: Derogate, Blame, or Help?<sup>1</sup>
Why this work is in the frame
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Bibliographic record
Abstract
The present research investigated Lerner's (1970, 1980) just‐world theory by manipulating victim‐related factors in a scenario and measuring several possible strategies for dealing with the threat to participants' just‐world beliefs created by the victim's intense suffering. Participants read a story about a victim who varied in terms of his character (likeable vs. unlikeable) and behavioral responsibility for causing his accident (high vs. low). The general pattern of results showed that for the unlikeable low‐responsibility victim, the primary response to protect justice beliefs appeared to be character derogation; for the likeable high‐responsibility victim, the primary protective strategy appeared to be blame; and for the likeable low‐responsibility victim, the primary protective strategy appeared to be compensation. Implications for just‐world theory are discussed.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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