“Flattering the Little Sleeping Roosterâ€: The French Left, de Gaulle, and the Vietnam War in 1965
Bibliographic record
Abstract
This article examines conflicts concerning French policy on the American phase of the Vietnam War between the French Left and Charles de Gaulle during the 1965 elections. The Left faced a dilemma on a matter of central foreign policy as it found it difficult to differentiate its position on the war from de Gaulle's public statements on it. Through an evaluation of press commentary, I demonstrate that in its attempt to set itself apart from de Gaulle, the French Left challenged not only his interpretation of the war in Vietnam but also his understanding of France and its role in the world, proffering a softer, cooperative conception in opposition to de Gaulle's push for a militant leadership status for France in the international community. The study shows the limits political parties face as part of protest movements, while also situating French debate over the Vietnam War squarely within the ongoing dialogue over French national identity.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".