La satire des mots à la mode dans la presse française : idéologie linguistique et idéologie politique
Bibliographic record
Abstract
La satire des mots à la mode s'inscrit dans une longue tradition française.Elle entre dans la presse pendant la Révolution : les journalistes contre-révolutionnaires se moquent des néologismes imaginés par les révolutionnaires.Sans être l'apanage de la droite, elle présente des affinités avec un conservatisme politique dont témoignent, à la fin du XX e siècle, les chroniques puristes du Figaro.Depuis 2008 cependant, Libération puis, à partir de 2011, Le Monde proposent des chroniques de langue d'une orientation sensiblement différente.Les usagers des mots à la mode y apparaissent comme les victimes inconscientes d'une novlangue venue de l'entreprise et des milieux de la communication.La satire des mots à la mode entre ainsi dans un schéma nouveau : ce n'est plus la droite qui reproche à la gauche d'abuser d'un jargon à la mode, mais plutôt la gauche qui raille un jargon à la mode initié par la droite.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.019 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".