International Law and Public Attitudes Toward Torture: An Experimental Study
Bibliographic record
Abstract
Abstract Domestic approaches to compliance with international commitments often presume that international law has a distinct effect on the beliefs and preferences of national publics. Studies attempting to estimate the consequences of international law unfortunately face a wide range of empirical and methodological challenges. This article uses an experimental design embedded in two U.S. national surveys to offer direct systematic evidence of international law's effect on mass attitudes. To provide a relatively tough test for international law, the surveys examine public attitudes toward the use of torture, an issue in which national security concerns are often considered paramount. Contrary to the common contention of international law's inefficacy, I find that legal commitments have a discernible impact on public support for the use of torture. The effect of international law is also strongest in those contexts where pressures to resort to torture are at their highest. However, the effects of different dimensions in the level of international agreements' legalization are far from uniform. In contrast to the attention often devoted to binding rules, I find that the level of obligation seems to make little difference on public attitudes toward torture. Rather, the relative precision of the rules, along with the degree to which enforcement is delegated to third parties, plays a much greater role in shaping public preferences. Across both international law and legalization, an individual's political ideology also exerts a strong mediating effect, though in varying directions depending on the design of the agreement. The findings have implications for understanding the overall impact of international law on domestic actors, the importance of institutional design, and the role of political ideology on compliance with international agreements.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".