Contested informality in regional institutional design: A comparative analysis of <scp>ASEAN</scp> and the Quad
Bibliographic record
Abstract
Abstract In terms of institutional positioning, the quartet of Indo‐Pacific states – Australia, India, Japan, and the United States – firmly endorse ASEAN. ‘ASEAN centrality’ is clearly highlighted in all Quad statements. Yet, the Quad presents an organizational and substantive challenge to the core institutional model of ASEAN. This competitive dynamic, with respect to style of associational methods (the how) as opposed to organizational purpose (the why), has not received the scholarly attention it deserves. If the literature does focus on the comparative approaches of ASEAN and the Quad, the prism is for the most part targeted on the differences with respect to the engagement with China. Our analysis is different and emphasizes the contrast between two types of institutional informality exhibited by ASEAN and the Quad. By situating our analysis in the context of contested informality, we point out that both ASEAN and the Quad are signposts showing that the foundational privilege of formal international organizations is under stress, albeit from a wide range of institutional designs. Only by detailing and evaluating the critical divergence in modes of informality can an appreciation of the nature and impact of the contest between ASEAN and the Quad be fully understood.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".