Discours direct chez les jeunes : nouvelles structures, nouvelles fonctions
Bibliographic record
Abstract
Cet article s’interroge sur les nouvelles tendances dans l’utilisation du discours direct dans deux corpus spontanés recueillis à Paris et à Londres dans le cadre du projet « MLE-MPF, Multicultural London English - Multicultural Paris French ». L’analyse des données françaises révèle des stratégies innovantes qui accompagnent le discours rapporté dans les récits des adolescents. Elle expose des tendances similaires à celles trouvées dans d’autres langues et variétés (pour l’anglais, voir Tagliamonte & D’Arcy 2007, Buchstaller & D’Arcy 2009, Cheshire et al. 2011, Fox 2012 ; pour le français québécois, Levey et al. 2013), mais aussi quelques différences vraisemblablement spécifiques au français hexagonal. Cet article traite des fonctions pragmatiques que les formes émergentes recouvrent dans des contextes variés, et s’interroge sur les forces motrices de leur développement.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".