Regionalism and diffusion revisited: From final design towards stages of decision-making
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 An emerging research programme on diffusion across regional international organisations (RIOs) proposes that decisions taken in one RIO affect decision-making in other RIOs. This work has provided a welcome corrective to endogenously-focused accounts of RIOs. Nevertheless, by focusing on the final design of policies and institutional arrangements, it has been conceptually overly narrow. This has led to a truncated understanding of diffusion’s impact and to an unjustified view of convergence as its primary outcome. Drawing on public policy and sociological research, we offer a conceptual framework that seeks to remedy these weaknesses by disaggregating the decision-making process on the ‘receiving’ side. We suggest that policies and institutional arrangements in RIOs result from three decision-making stages: problematisation (identification of something as a political problem), framing (categorisation of the problem and possible solutions), and scripting (design of final solutions). Diffusion can affect any combination of these stages. Consequently, its effects are more varied and potentially extensive than is currently recognised, and convergence and persistent variation in scripting are both possible outcomes. We illustrate our framework by re-evaluating research on dispute settlement institutions in the EEC, NAFTA, and SADC. We conclude by discussing its theoretical implications and the conditions that likely promote diffusion.
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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 | 0.003 |
| 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 | 0.000 |
| 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