Right‐Wing Ideology as a Predictor of Collective Action: A Test Across Four Political Issue Domains
Bibliographic record
Abstract
Despite a vast literature documenting motivations for collective action, the role of sociopolitical ideologies, including right‐wing ideologies, in predicting collective action is underresearched. Literature on right‐wing ideological beliefs suggests that those higher in right‐wing authoritarianism (RWA) or social dominance orientation (SDO) hold specific attitudes or endorse specific policies, in part, because of factors such as perceived fear‐based threat or empathy. In the present research, structural equation modeling (SEM) was run on pooled data from a diverse Canadian university sample and two American adult samples (total N = 1,469). Participants completed measures of RWA, SDO, fear‐based threat, empathy, and domain‐specific collective action. Results showed that RWA and SDO both related positively to collective action targeting societal moral breakdown but negatively to collective action aimed at equalizing race relations or fighting climate change. Whereas the indirect effects of right‐wing ideologies via fear‐based threat or empathy were significant in all four domains for SDO, the indirect effect of RWA was only significant in the climate change domain. Implications are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".