La dia-variation en français actuel : etudes sur corpus, approches croisées et ouvrages de référence
Bibliographic record
Abstract
Ce volume reunit 17 articles selectionnes a l'issue du colloque La dia-variation en francais actuel. Des corpus aux ouvrages de reference (dictionnaires / grammaires) qui s'est tenu a l'Universite de Sherbrooke du 29 au 31 mai 2013. Ces articles sont axes sur la problematique de la variation linguistique a travers des etudes de cas diversifiees portant sur des faits lexicaux, morphosyntaxiques et phonetiques. Les contributions sont rassemblees sous 5 sections, eu egard a l'angle d'attaque privilegie pour decrire les phenomenes examines. On y trouve ainsi des etudes semantico-grammaticales, des etudes semantico-discursives, des etudes lexicologiques, des etudes sociolinguistiques et des etudes orientees vers l'acquisition du francais en tant que L2. L'attention se focalise, dans les analyses, sur les particularites des phenomenes consideres d'un point de vue intrasystemique et sur leurs roles dans le diasysteme. La question relative a la representation des faits de variation lexicale dans les ouvrages de reference est egalement mise en avant-plan dans plusieurs contributions.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.016 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".