Continental Policy of Japan as Seen From France: The Vichy Regime, Franco-Thai war, and Japanese Expansion in Indochina
Bibliographic record
Abstract
The article continues to analyze the little-studied aspects of the JapaneseFrench relations during the Second World War – the resistance of the French state (the Vichy regime) and the authorities of French Indochina to the military, political, economic, and propaganda expansion of Japan. The strategic goal of Japan after the military defeat of France in 1940 was to establish control over Indochina. The authoritarian Vichy regime proclaimed a policy of “preserving the empire,” but compromised with Japan because of the inequality of forces in the region and the remoteness of Indochina from the metropole.Japan exerted pressure on France with the help of its ally Thailand, pushing it to an aggressive war against Indochina. The author examines the process of developing French policy and the actions (as well as inaction) of its leaders and main performers since the autumn of 1940: Head of State Marshal Philippe Petain, heads of government as Vice Prime Minister Pierre Laval and JeanFrançois Darlan, Foreign Ministers Paul Baudouin and Pierre-Etienne Flandin, Colonial Minister Charles Platon, Governor-General of Indochina Jean Decoux, Ambassador to Japan Charles Arsene-Henry, and Ambassador to the US Gaston Henry-Haye.This article is based on documents, diaries, memoirs, and other evidence of the actors in combination with the latest historical research.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".