Effects of Self-Legitimation and Delegitimation on Public Attitudes toward International Organizations: A Worldwide 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
Abstract Public views on international organizations (IOs) have become a matter of central concern. While actors in world politics increasingly try to legitimize or delegitimize IOs, scholars have begun investigating such phenomena systematically. This paper provides the most comprehensive IO (de)legitimation study to date. Building on cueing theory, and considering input as well as output legitimacy, I examine the isolated and combined effects of delegitimation and self-legitimation on public perceptions of IOs. I concentrate on government criticism and citizen protests as two salient practices of delegitimation. In investigating self-legitimation, I focus on IOs’ public statements and institutional reforms. I study public opinion on the UN, World Bank, and WHO, as IOs of different functional scopes and levels of salience. In 2021, I conducted survey experiments on more than 32,000 citizens in ten countries worldwide (Australia, Canada, Colombia, Egypt, France, Hungary, Indonesia, Kenya, South Korea, and Turkey) – weighted by age, gender, region, and education. My main findings are: Delegitimation by governments and citizen protests has some limited effectiveness, depending on the IO in question. While IO self-legitimization statements and reforms in themselves do not boost public support for IOs, they are generally effective at neutralizing delegitimation attempts by governments and citizen protests.
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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 | 0.001 | 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 | 0.000 | 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