Theories of power: Perceived strategies for gaining and maintaining power.
Bibliographic record
Abstract
What does it take to gain and maintain power? Aristotle believed that power was afforded to individuals that acted in virtuous ways that promote the greater good. Machiavelli, nearly 2,000 years later, argued to great effect that power could be taken through the use of manipulation, coercion, and strategic violence. With these historical perspectives as a conceptual foundation, we validate a 2-factor measure of theories of power (TOPS; Study 1), which captures lay theories of how power is gained and maintained among family members, at work, and in international politics (Study 2). We differentiate TOPS from other established measures of power, highlighting that these beliefs about power are conceptually distinct from widely used measures of dominance and prestige, and uniquely predict social outcomes. Turning to social class, we find that participants who make upward social comparisons perceive themselves to be of lower class and endorse less collaborative and more coercive theories of power, relative to those who make downward comparisons and report themselves to be higher in the class hierarchy (Studies 3a and 3b). Building upon these findings, we identify theory of power endorsement as a correlate of interpersonal trust, and a mediator of how lower class individuals, who endorse less collaborative views of power, report less trust of institutions and individuals (Study 4). Theories of power provide a novel construct for understanding power dynamics at multiple levels of analysis. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".