When the “Laws of Fear” Do Not Apply: Effective Counterterrorism and the Sense of Security from Terrorism
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
We investigate how effective counterterrorism influences (1) confidence in government efforts to deal with terrorism and (2) the sense of insecurity from attacks. Research on “heuristic judgments” implies information about counterterrorism undercuts people’s perceived security from terrorism. Across three experiments, however, we find that people who are exposed to information about effective counterterrorism express more confidence in governments to protect citizens from future attacks and prevent future violence than those who did not receive these treatments. People who receive information about effective counterterrorism also show greater willingness to travel to locations where the risk of terrorism is prominent than those who are only exposed to material about terrorism. Finally, we find that counterterrorism information does not inevitably undermine government efforts to reassure people about their security. On the contrary, information about effective counterterrorism erased the effects of exposure to information about terrorism in one study.
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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.014 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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