Distinctive Visions of Economic Regionalism for East Asia, Europe, and the Americas
Bibliographic record
Abstract
This chapter examines some distinctive ideas about economic regionalism that emerged during the interwar years and the early 1940s. Some arose in the context of Japanese debates about a Greater East Asia Co-Prosperity, of which the most sophisticated was Akamatsu Kaname’s “Wild Geese Flying Pattern theory” of regional economic integration. Others were associated with post-1933 German designs for Europe’s economy, including “Schachtian” managed bilateralism (Hjalmar Schacht), fascist multilateralism (Walter Funk), and visions of a “great-space economy” (Friedrich Zimmermann). The final example comes from Peru’s Víctor Raúl Haya de la Torre who advanced a quite different anti-imperialist vision of regionalism initially through what he called “Indoamerican economic nationalism” within Latin America and then via a wider vision of “democratic Interamericanism without empire” that was inclusive of the United States.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".