Rhétoriques réactionnaires et antiféminisme en France : la controverse de l’écriture inclusive1
Bibliographic record
Abstract
En France, en mars 2017, l’éditeur Hatier publiait un manuel scolaire qui utilisait l’écriture inclusive, dont l’objectif était d’éradiquer le sexisme dans la langue et donc dans les mentalités. Les résistances à son application furent nombreuses : l’Académie française, le groupe parlementaire Les Républicains dont était issu le premier ministre français Édouard Philippe, des militant·e·s de la « Manif pour tous » et des intellectuel·le·s se sont prononcés publiquement contre cette tentative d’inclusivité dans la langue française. Dans cette étude, nous proposons d’évaluer en quoi les arguments invoqués lors de la controverse de l’écriture inclusive en France s’arriment à des rhétoriques réactionnaires antiféministes.
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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 | 0.016 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.015 | 0.028 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.005 |
| 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".