Les ideologies linguistiques au prisme de la notion d'"attitude enonciative"
Bibliographic record
Abstract
Cette étude est consacrée aux représentations linguistiques autour de la variété de français parlée en Alberta (Canada), au prisme de la notion d’“attitude énonciative”. L’objectif est, plus précisément, d’analyser un texte de la dramaturge et artiste franco-albertaine Joëlle Préfontaine, intitulé Lettre non lue, paru dans la revue Lettres québécoises n° 181 (2021). Nous essayerons d’observer comment les marqueurs lexicaux et grammaticaux relevés dans le texte fonctionnent comme des indices de l’attitude locutoire ou expressive de l’artiste albertaine. L’hypothèse formulée est que ces indices, inscrits dans une scénographie épistolaire choisie pour servir d’appui à la réflexion spéculative sur la langue, seraient à même de déconstruire l’idéologie de l’unilinguisme dont font généralement l’objet les variétés “minoritaires” de français en Amérique du Nord, notamment à l’Ouest des Grands Lacs.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.017 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".