Issue-Areas, Sovereignty Costs, and North Americans’ Attitudes Toward Regional Cooperation
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 Studies of public opinion toward regionalism tend to rely on questions regarding trade integration and specific regional organizations. This narrow focus overlooks dimensions of regionalism that sit at the heart of international relations research on regions today. Instead, we argue that research should explore public preferences with respect to regional cooperation in different issue-areas. We find that people's views of regional cooperation in North America diverge from their attitudes toward trade integration alone. Using data from Rethinking North America, an untapped public opinion survey conducted in Mexico, Canada, and the United States in 2013, we show that although country-level attitudes toward trade integration in North America were similar, preferences for regional cooperation varied by country depending on the issue at hand. We propose that attitudes are shaped by citizens’ perceptions of the asymmetric patterns of national-level benefits and vulnerabilities created by regional cooperation. Generally, respondents favor cooperation where their state stands to gain greater capacity benefits and oppose it where cooperation imposes greater costs on national autonomy. For policymakers, this multifaceted approach to regionalism sheds light on areas where public preferences for regional cooperation might converge. Future research that disaggregates various aspects of support for regional cooperation should help integrate the study of public opinion with “new” and comparative regional approaches that emphasize the aspects of regionalism beyond trade and formal institutions.
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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 | 0.001 | 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) | 0.000 | 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