Inequality, discrimination, and the power of the status quo: Direct evidence for a motivation to see the way things are as the way they should be.
Bibliographic record
Abstract
How powerful is the status quo in determining people's social ideals? The authors propose (a) that people engage in injunctification, that is, a motivated tendency to construe the current status quo as the most desirable and reasonable state of affairs (i.e., as the most representative of how things should be); (b) that this tendency is driven, at least in part, by people's desire to justify their sociopolitical systems; and (c) that injunctification has profound implications for the maintenance of inequality and societal change. Four studies, across a variety of domains, provided supportive evidence. When the motivation to justify the sociopolitical system was experimentally heightened, participants injunctified extant (a) political power (Study 1), (b) public funding policies (Study 2), and (c) unequal gender demographics in the political and business spheres (Studies 3 and 4, respectively). It was also demonstrated that this motivated phenomenon increased derogation of those who act counter to the status quo (Study 4). Theoretical implications for system justification theory, stereotype formation, affirmative action, and the maintenance of inequality are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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 source (direct Gemma or distilled Codex), 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".