The State of American Protest: Shared Anger and Populism
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Social psychological models of group identity and collective action should be particularly adept at providing psychological explanations for growing rates of populism in the Western World. Because populism tends to arise in times of societal shifts that reflect both economic and cultural changes, populist attitudes are likely grounded in perceptions of intergroup relations and collective attitudes. We surveyed 95 demonstrators at the 2016 Republican National Convention and 108 demonstrators at the Democratic National Convention. Results support the idea that relative anger prototypicality, in this case, the extent to which people believe that their own anger toward politicians is representative of most Americans’ anger, predicts feelings of group‐based relative deprivation. Importantly, these feelings of deprivation mediate the relationship between prototypical anger and populist attitudes. These findings provide a unique picture of current political engagement, motivated by feelings of shared anger and collective feelings of lacking representation and voice.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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