Who cares what the outgroup thinks? Testing an information search model of the importance individuals accord to an outgroup member's view of them during intergroup interaction.
Bibliographic record
Abstract
Four studies examined whether the intensity of individuals' concern with evaluation is affected by whether they are engaged in intragroup or intergroup interaction. According to the authors' theoretical framework, the importance that individuals attach to another person's opinion is a function of how predictive that person's evaluation seems to be of their social standing and outcomes. Members of lower status groups are more invested in outgroup members' opinions with increasing perceived legitimacy of the group status difference because outgroup members are seen as better judges of the competencies necessary for success in society. Members of a higher status group are more invested in outgroup members' opinions with decreasing perceived legitimacy of the group status difference because outgroup members are seen as better judges of moral goodness. Results were generally consistent with these predictions and demonstrated that intergroup exchanges are sometimes characterized by heightened levels of the basic motivation to know one's social standing with others. Findings also revealed that the interactive effect of group status and perceived legitimacy extends to egocentric biases that contribute to tension and miscommunication in intergroup interaction.
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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 | 0.012 | 0.053 |
| 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 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".