The Motivating Role of Dissociative Out-Groups in Encouraging Positive Consumer Behaviors
Bibliographic record
Abstract
Previous research has found that people tend to avoid products or behaviors that are linked to dissociative reference groups. The present research demonstrates conditions under which consumers exhibit similar behaviors to dissociative out-group members in the domain of positive consumption behaviors. In particular, when a consumer learns that a dissociative out-group performs comparatively well on a positive behavior, the consumer is more likely to respond with positive intentions and actions when the setting is public (vs. private). The authors suggest that this occurs because learning of the successful performance of a dissociative out-group under public conditions threatens the consumer's group image and activates the desire to present the group image in a positive light. The authors show that although group affirmation mitigates these effects, self-affirmation does not. They also examine the moderating role of the positivity of the behavior and the mediating role of group image motives. Taken together, the results highlight conditions under which communicating information about the behaviors of dissociative out-groups can be used to spur consumers to engage in positive actions.
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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 | 0.048 | 0.026 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".