A ‘Total War’ of Decolonization? Social Mobilization and State-Building in Communist Vietnam (1949–54)
Bibliographic record
Abstract
By choosing to transition to modern, set-piece battle during the second half of the Indochina War, the Democratic Republic of Vietnam (DRV) created one of the most socially totalizing wars in order to meet that ambitious goal. This article argues that, while the DRV did indeed create a remarkably modern army of six divisions, the lack of a mechanized logistical system meant that it had to mobilize hundreds of thousands of civilian porters to supply its troops moving across Indochina. To do this, the communist party undertook a massive mobilization drive and simultaneously expanded its efforts to take the state in hand. The DRV made war, but war also directly shaped the nature of this state. This article also shows why this transition to modern war rapidly collapsed the line between civilians and combatants in ways more ‘totalizing’ than many have previously thought.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".