Protest Under Uncertainty: Evidence from a Survey Experiment
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
Environmental disasters generate uncertainty, which is a crucial element of post-disaster political dynamics. Does communication of uncertainty affect public willingness to participate in political activism? This article first provides a content analysis of news coverage to show that uncertainty framing is prevalent in the aftermath of environmental disasters. The article then examines the effect of such uncertainty on public willingness to protest, presenting a survey experiment of over 3,600 Americans recruited through Amazon Mechanical Turk. In theory, uncertainty framing may trigger emotions like anxiety, which reduce people’s willingness to engage in protest. Since in environmental communication uncertainty frames are often used to reify the status quo, which is more easily compatible with conservative beliefs, the dampening effect should be stronger among those who are ideologically conservative. Our experiment confirms the latter expectation but does not find support for the former. These results help explain why some protest coalitions may have more breadth than others after environmental disasters.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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