Intergroup Contact as an Agent of Cognitive Liberalization
Bibliographic record
Abstract
Intergroup contact is widely recognized as one of the most validated methods of improving attitudes toward out-groups. Yet what is intergroup contact "good for" beyond this function? To answer this question we take a panoramic view of the literature, beginning with the recognition that contact is multifaceted in both form (e.g., face-to-face, indirect, simulated) and outcome (e.g., attitudes, cognition, behavior). Taking this highly inclusive view of what contact is and what contact does suggests that it plays a fundamental role in the shaping of human cognition. An increasingly diverse body of research demonstrates that contact exerts a generalizing reaction across target out-groups, making respondents less inward looking and more open to experiences. Contact shapes ideology regarding how the world ought to operate (i.e., ideologies about social hierarchy or regulation); over time, it can promote new ways of problem-solving, enhance cognitive flexibility, and foster creativity. For these reasons, we believe that contact is a key liberalizing agent that shapes human cognition and experience; consequently, contact theory should now share the stage with other prominent theories (e.g., cognitive dissonance) that speak to a broader understanding of human nature.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".