La Ligue de l’enseignement et les Fêtes de la Jeunesse. Manifester son attachement à la République et à l’école laïque dans les années 1930
Bibliographic record
Abstract
Dans un contexte de rivalité permanente entre catholiques et laïques autour de l’encadrement de la jeunesse, la Ligue de l’enseignement a favorisé l’organisation de Fêtes départementales de la Jeunesse. À partir de 1935, les directives nationales, appuyées sur des expériences antérieures multiples, promeuvent la fête symbolique, au côté des démonstrations physiques. Fêtes populaires de plein air, avec défilés et chants, ces grands rassemblements permettent aux représentants de l’État et aux élus républicains d’exalter la République et l’école laïque dans les discours. Reposant sur le militantisme des instituteurs et plus largement sur l’ordre primaire, ces fêtes ont perduré après-guerre avant de disparaître au début des années 1970.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.015 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".