Does Cultural Exposure Partially Explain the Association Between Personality and Political Orientation?
Bibliographic record
Abstract
Differences in political orientation are partly rooted in personality, with liberalism predicted by Openness to Experience and conservatism by Conscientiousness. Since Openness is positively associated with intellectual and creative activities, these may help shape political orientation. We examined whether exposure to cultural activities and historical knowledge mediates the relationship between personality and political orientation. Specifically, we examined the mediational role of print exposure (Study 1), film exposure (Study 2), and knowledge of American history (Study 3). Studies 1 and 2 found that print and film exposure mediated the relationships Openness to Experience and Conscientiousness have with political orientation. In Study 3, knowledge of American history mediated the relationship between Openness and political orientation, but not the association between Conscientiousness and political orientation. Exposure to culture, and a corollary of this exposure in the form of acquiring knowledge, can therefore partially explain the associations between personality and political orientation.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".