Bibliographic record
Abstract
Although autarkic thought has not received much attention from IPE scholars, there is a long history of thinkers who prioritized their state’s economic self-sufficiency in order to enhance its autonomy (economic, political, and/or cultural) from foreign influence. This autarkic goal was rejected by classical economic liberals, neomercantilists, and most Marxists, but autarkic perspectives had at least as important a place in political debates as these other better-studied ones in some pre-1945 contexts. Like the other perspectives examined in this book, some strands of autarkic thought also circulated internationally in the pre-1945 era. This chapter identifies influential autarkic ideas developed by a number of thinkers from places as diverse as Britain (John Maynard Keynes, just briefly in 1933), China (Chen Gongbo), Germany (Johann Fichte, Friedrich Zimmermann), Haiti (Edmund Paul), India (Mohandas Gandhi), Japan (Aizawa Seishisai, Shizuki Tadao), Korea (Lee Hang-ro), Paraguay (José Gaspar Rodríguez de Francia), Russia (Peter Kropotkin), Turkey (Sevket Süreyya Aydemir), and the west African colony of the Gold Coast (Kobina Sekyi). The chapter also highlights important disagreements amongst these thinkers, ranging from the specific reasons they prioritized autonomy to their views of the relationship between autarky and peace.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.040 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".