The Belief in a Just World and Immanent Justice Reasoning in Adults
Bibliographic record
Abstract
Deciding that negative experiences are punishment for prior misdeeds, even when plausible causal links are missing, is immanent justice (IJ) reasoning (Piaget, 1932/1965). Three studies examined a just world theory analysis of IJ reasoning in adults (Lerner, 1980). Studies 1 and 2 varied the valence of a target person's behavior prior to them experiencing an unrelated negative (car accident, Study 1) or positive (lottery win, Study 2) outcome. Participants viewed the outcomes as the result of prior behavior most when they fit deservingness expectations (good person won the lottery, bad person injured in automobile accident), suggesting that just world concerns influenced IJ reasoning. The lottery-winning finding (Study 2) also extends IJ reasoning to positive experiences. A third study found that a manipulation of just world threat in one context (prolonged or ended suffering of an HIV victim) influenced IJ responses in a subsequent unrelated context (automobile accident scenario).
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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 | 0.001 |
| 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".