Authoritarian dynamics and unethical decision making: High social dominance orientation leaders and high right-wing authoritarianism followers.
Bibliographic record
Abstract
When dilemmas require trade-offs between profits and ethics, do leaders high in social dominance orientation (SDO) and followers high in right-wing authoritarianism (RWA) make decisions that are more unethical than those made by others? This issue was explored in 4 studies with female participants performing managerial role-playing tasks. First, dyads comprising a person who was either low or high in SDO and a person who was either low or high in RWA negotiated for a leadership position. People high in SDO were more likely to obtain leader positions than to obtain follower positions. No other effects were significant. Second, leaders high in SDO partnered with an agreeable (confederate) follower made decisions that were more unethical than those of leaders low in SDO. Third, followers high in RWA were more acquiescent to and supportive of an unethical (confederate) leader than were followers low in RWA. Fourth, high SDO leader-high RWA follower dyads made decisions that were more unethical than those made in role-reversed dyads because leaders had more influence. Implications of these results for conceptualizing SDO, RWA, and authoritarian dynamics 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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".