Bibliographic record
Abstract
Abstract In the present article, we discuss and compare recent theoretical and empirical contributions to the growing body of research on social power. In the last decade, five different theories on power have been proposed. These theories can be distinguished according to whether they focus on intrapersonal, interpersonal, intergroup or ideological processes. Our analysis leads us to claim that future theoretical contributions would have much to gain by addressing the issue of social power on multiple levels of analysis. The recent empirical work on social power suggests that powerful individuals and members of powerful groups differ from powerless individuals and members of powerless groups with regard to (a) how they perceive and judge others, (b) how they are evaluated as targets, and (c) how they behave. Those who have power perceive others more stereotypically and judge them more negatively. They also tend to take action more frequently and generally behave in a more variable manner. This difference in objective variability is further reinforced by perceivers' tendency to exaggerate the variability of high power groups. The latter two effects contribute to the phenomenon that high power groups are less often the target of stereotypes than low power groups. Copyright © 2006 John Wiley & Sons, Ltd.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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".