System circumvention: Dishonest‐illegal transgressions are perceived as justified in non‐meritocratic societies
Bibliographic record
Abstract
Does believing that "effort doesn't pay" in society shape how people view dishonest-illegal transgressions? Across five studies, we show that when people view societal success as non-meritocratic-that is, more dependent on luck and circumstances than on hard work-they are more lenient in their moral judgements of dishonest-illegal transgressions. Perceiving society as non-meritocratic predicted greater justifiability of dishonest-illegal transgressions in the United States (Study 2), and across 42 countries (N = 49,574; Study 1). And inducing participants to view society as non-meritocratic increased justifiability of others' dishonest-illegal transgressions, via greater feelings of sympathy (Studies 3 and 4). Next, we investigated the contours of these effects. Perceiving societal success as non-meritocratic rather than based on hard work causes people to view dishonest-illegal transgressions as more justifiable if they are perpetrated by the poor, but not the rich (Study 4), and if the dishonest-illegal transgressions are related to economic striving, such as money laundering and dealing illegal drugs (Study 5). In sum, when people see a social system as unfair, they show greater tolerance for dishonest-illegal transgressions perpetrated to circumvent the system.
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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 | 0.000 | 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 | 0.001 |
| 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 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".