Ideological and psychological predictors of COVID-19-related collective action, opinions, and health compliance across three nations
Bibliographic record
Abstract
Until vaccines or treatments are widely available and used, behavioral change (e.g. social distancing) on an unparalleled collective scale is the chief way to curb the spread of COVID-19. Relying on ideology and collective action models as conceptual frameworks, in the present study the role of ideological and psychological factors in COVID-19-related opinions, health compliance behaviors, and collective action were examined in three countries. Results, examining country as a moderator, showed some politically conservative orientations, especially social dominance orientation, relate to less collective action, less support of measures to manage COVID-19, and lower compliance. Variables, including empathy for those affected by COVID-19 and group efficacy also predicted COVID-19-related attitudes and behavior. Belief in science and perceived risk also emerged as key factors to impact compliance-related attitudes and behaviors. Implications for motivating collective compliance are discussed.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| 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 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".