L'armée de l'an II : la levée en masse et la création d'un mythe républicain
Bibliographic record
Abstract
Alan Forrest, The Army of the Year II in modern memory : the levée-en-masse and the creation of a republican myth The armies of the French Revolution would be a key point of reference for future generations, and would be characterised by a range of different and complementary qualities - by the fact of conscription, of course, the equality of all before the draft, and the requirement to serve in person ; but also human qualities of flair, enthusiasm, generosity of spirit, and patriotism. The soldier is spared the criticism that is reserved for political figures ; he does not share their responsibilities, and continues to enjoy a positive image under such different regimes as the July Monarchy, the Second Empire and the Third Republic. But which is the army that is being remembered ? How is it remembered by future generations ? And why does the myth of the levée en masse, of the response to the call of the patrie en danger, prove so resilient ? This article traces the evolution of the army in public memory, examining the different depictions of the army and of the nation-in-arms that are encountered during the nineteenth century.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".