The Effects of Categorically Based Expectations on Minority Influence: The Importance of Congruence
Bibliographic record
Abstract
The role of congruence and incongruence in diverse decision-making groups is examined by manipulating opinion agreement within and between members of different social categories. Congruence occurs when ingroup members agree with one another and outgroup members disagree, whereas incongruence occurs when an ingroup member disagrees with a majority composed of ingroup and outgroup members. The results of two studies, one using a scenario methodology and the second using simulated work teams with two ingroup members and one outgroup member, show that regardless of the task-relevance of salient differences, individuals respond most favorably when categorical and opinion differences are congruent. Study 1 examined individuals' emotional reactions and group efficacy. Study 2 examined group performance, the minority influence process, and efforts to maintain congruence. The findings suggest that outgroup minority opinion holders may be more influential in diverse group decision-making settings than ingroup minority opinion holders.
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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 | 0.004 | 0.047 |
| 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 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".