A Rose by Any Other Name? A Subtle Linguistic Cue Impacts Anger and Corresponding Policy Support in Intractable Conflict
Why this work is in the frame
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Bibliographic record
Abstract
Given the central role of anger in shaping adversarial policy preferences in the context of intergroup conflict, its reduction may promote conflict resolution. In the current work, we drew on psycholinguistic research on the role of language in generating emotions to explore a novel, extremely subtle means of intervention. Specifically, we hypothesized that phrasing conflict-relevant policies in noun form (vs. verb form) would reduce anger and impact policy support correspondingly. Results across three experimental studies in the context of the Israeli-Palestinian conflict supported these expectations for both support for concessions (Studies 1-3) and retaliatory policies (Study 3), with reduction in anger mediating the salutary impact of noun form (vs. verb form) on policy support. These results expand our understanding of the influence of language on emotions and policies in the context of conflict and have applied relevance for conflict-resolution efforts.
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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 | 0.001 | 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 | 0.003 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it