“How do you like them now?” Expected reactions upon discovering that a friend is a political out-group member
Bibliographic record
Abstract
Republican or Democrat participants imagined how they would respond upon learning about the political group membership of a potential or established friend. Four vignettes (friend political in-group; friend political out-group; potential friend political in-group; potential friend political out-group) were presented in a random order. After each, participants provided expected reactions. Overall, reactions (e.g., hope of the relationship lasting, intentions to engage in friendship maintenance behaviors, trust) were most positive toward the established in-group friend, followed by potential in-group friend, then the established out-group friend, and lastly the potential out-group friend. That is, participants expected to be more positive toward a person they just met than an established close friend, simply due to knowing these individuals’ political group memberships. Some of these differences were moderated by intergroup attitudes or political identification. Discoveries of political group membership may influence the development or maintenance of friendships.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".