The paradoxical thinking ‘sweet spot’: The role of recipients’ latitude of rejection in the effectiveness of paradoxical thinking messages targeting anti-refugee attitudes in Israel
Bibliographic record
Abstract
The current research examined whether for a message that is based on the paradoxical thinking principles—i.e., providing extreme, exaggerated, or even absurd views, that are congruent with the held views of the message recipients—to be effective, it needs to hit a ‘sweet spot’ and lead to a contrast effect. That is, it moderates the view of the message's recipients. In the framework of attitudes toward African refugees and asylum seekers in Israel by Israeli Jews, we found that compared to more moderate messages, an extreme, but not too extreme, message was effective in leading to unfreezing for high morally convicted recipients. The very extreme message similarly led to high levels of surprise and identity threat as the extreme message that was found to be effective. However, it was so extreme and absurd that it was rejected automatically. This was manifested in high levels of disagreement compared to all other messages, rendering it less effective compared to the extreme, paradoxical thinking, message. We discuss these findings’ practical and theoretical implications for the paradoxical thinking conceptual framework as an attitude change intervention, and for social judgment theory.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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; 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".