Do innocent victims threaten the belief in a just world? Evidence from a modified Stroop task.
Why this work is in the frame
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Bibliographic record
Abstract
Two experiments tested whether innocent victims threaten observers' belief in a just world. In both experiments, participants viewed an innocent victim then performed a modified Stroop task in which they identified the color of several words presented for brief exposures (followed by a mask) on a computer screen. When the threat to justice beliefs was presumably highest, color-identification latencies were greater for justice-related words than for neutral words. In Experiment 2, under conditions of high threat, justice-related interference predicted participants' tendency to disassociate themselves from and derogate the victim. These findings suggest that innocent victims do threaten justice beliefs and responses to these victims may, at times, be attempts to reduce this threat. The methodology presented here may be applied to future investigations of defensive, counternormative processes reflecting people's concern with justice.
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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 | 0.001 |
| 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