“<i>Ils sont fous, ces Gaulois</i>”:<i>Asterix</i>between Cold War America and Gaullist France
Bibliographic record
Abstract
Much ink has been spilled on the comic strip Asterix, but few observers have paid attention to the contemporaneous political context in which René Goscinny (1926–1977) and Albert Uderzo (1927–2020) produced this Gallic epic, and how it gives meaning to this world-famous comic star. The association of the fictional Gauls resisting Roman occupation in 50 bce with France’s heated public debate in the 1950s and 1960s about the role of the Resistance during the German occupation from 1940 to 1944 was no doubt on the mind of French readers at the time. Yet the Asterix epic also is the most successful francophone comic strip in the world. On the one hand the epic works as anti-American diatribe, which equates the Pax Romana of the ancient past with the Pax Americana of the Cold War. On the other hand it is also an anti-Gaullist critique of France in the 1960s and 1970s. Accordingly the Roman Emperor Julius Caesar stands as a symbol for both the anti-Gaullist United States and the anti-American Charles de Gaulle. The contradictory nature of these two claims might be surprising, but the Asterix epic was never intended to be an internally consistent philosophical treatise. The epic looks more like a precursor to the animated series The Simpsons, given its circular narrative structure, the use of cameos by celebrities, and the parodic commentary on contemporaneous affairs.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".