Social disadvantage and the self-regulatory function of justice beliefs.
Bibliographic record
Abstract
Five studies support the hypothesis that beliefs in societal fairness offer a self-regulatory benefit for members of socially disadvantaged groups. Specifically, members of disadvantaged groups are more likely than members of advantaged groups to calibrate their pursuit of long-term goals to their beliefs about societal fairness. In Study 1, low socioeconomic status (SES) undergraduate students who believed more strongly in societal fairness showed greater intentions to persist in the face of poor performance on a midterm examination. In Study 2, low SES participants who believed more strongly in fairness reported more willingness to invest time and effort to achieve desirable career outcomes. In Study 3, ethnic minority participants exposed to a manipulation suggesting that fairness conditions in their country were improving reported more willingness to invest resources in pursuit of long-term goals, relative to ethnic minority participants in a control condition. Study 4 replicated Study 3 using an implicit priming procedure, demonstrating that perceptions of the personal relevance of societal fairness mediate these effects. Across these 4 studies, no link between fairness beliefs and self-regulation emerged for members of advantaged (high SES, ethnic majority) groups. Study 5 contributed evidence from the World Values Survey and a representative sample (Inglehart, Basañez, Diez-Medrano, Halman, & Luijkx, 2004). Respondents reported more motivation to work hard to the extent that they believed that rewards were distributed fairly; this effect emerged more strongly for members of lower SES groups than for members of higher SES groups, as indicated by both self-identified social class and ethnicity.
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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 | 0.003 | 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 | 0.001 | 0.003 |
| 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".