Personality Traits and Political Ideology: A First Global Assessment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article presents the first assessment of how the five‐factor model of personality and political ideology are associated across the world. Personality traits become more and more important in the study of political behavior. And the relationship with ideology virtually parallels the history of this line of research. Yet, many existing studies are limited to single, highly developed countries and mostly draw on nonrandom or nonrepresentative samples. Our study, in contrasts, makes use of the most recent wave of the World Value Survey and analyzes the relationship comparatively in 21 countries from all continents. Results corroborate the most prominent findings about personality and ideology. However, effects of personality traits cannot be generalized easily across the world as effects vary considerably from country to country. Therefore, we additionally analyze specific preferences concerning social and economic policies on the one side. On the other, we theorize as well as model the moderating role of the country context by introducing cross‐level interaction effects.
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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 | 0.000 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it