Seek and Ye Shall Be Fine: Attitudes Toward Political-Perspective Seekers
Bibliographic record
Abstract
Six preregistered studies ( N = 2,421) examined how people respond to copartisan political-perspective seekers: political allies who attempt to hear from shared opponents and better understand their views. We found that North American adults and students generally like copartisan seekers (meta-analytic Cohen’s d = 0.83 across 4,231 participants, representing all available data points). People like copartisan perspective seekers because they seem tolerant, cooperative, and rational, but this liking is diminished because seekers seem to validate—and may even adopt—opponents’ illegitimate views. Participants liked copartisan seekers across a range of different motivations guiding these seekers’ actions but, consistent with our theorizing, their liking decreased (though rarely disappeared entirely) when seekers lacked partisan commitments or when they sought especially illegitimate beliefs. Despite evidence of rising political intolerance in recent decades, these findings suggest that people nonetheless celebrate political allies who tolerate and seriously consider their opponents’ views.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".