What Does National Resilience Mean in a Democracy? Evidence from the United States and Israel
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
Given various challenges to national security in democracies, such as terrorism and political violence, a growing need for reconceptualization of the term “resilience” emerges. The interface between national security and resilience is rooted in individuals’ perceptions and attitudes toward institutions and leadership. Therefore, in this article, we suggest that political–psychological features form the basis of citizens’ perceived definitions of national resilience. By comparing national resilience definitions composed by citizens of two democratic countries facing national threats of war and terrorism, the United States and Israel, we found that perceived threats, optimism, and public attitudes such as patriotism and trust in governmental institutions, are the most frequent components of the perceived national resilience. On the basis of these results, a reconceptualization of the term “national resilience” is presented. This can lead to validation of how resilience is measured and provide grounds for further examination of this concept in other democratic countries.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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