The Value of Task Conflict to Group Decisions
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT We tested the ability of task conflict to improve the quality of decisions made by four‐person groups. In a choice between two entrepreneurial investments, conflict was created by endowing group members with a preference for either one investment or the other. Because the decision was subjective, decision quality was necessarily judged by a process criterion, the reduction in the biased evaluation of new information to support the leading alternative. Groups in which conflict was installed exhibited less bias than individuals, who themselves exhibited less bias than groups without such conflict. Regardless of whether conflict was installed, groups that reached an early consensus exhibited the greatest information bias, while groups that experienced sustained conflict exhibited the least. Before achieving consensus, information bias was not significantly different from zero, but then rose steadily after that agreement. This result identifies one specific mechanism by which conflict can improve the process of group decisions. Copyright © 2011 John Wiley & Sons, Ltd.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it