La langue de Charlevoix et du Saguenay–Lac-Saint-Jean : un français qui a du caractère
Bibliographic record
Abstract
La langue de Charlevoix et du Saguenay–Lac-Saint-Jean : un francais qui a du caractere est un ouvrage qui s’appuie sur la linguistique et sur les methodes de la lexicographie moderne, tout en restant accessible au grand public. La premiere partie du livre donne un apercu geographique et historique des regions de Charlevoix et du Saguenay–Lac-Saint-Jean. Elle traite ensuite succinctement de la variation geographique du francais en contexte quebecois, puis elle rappelle les principaux travaux qui ont porte sur la langue de ces regions. Enfin, elle brosse un tableau des traits linguistiques qui caracterisent le plus cette variete de francais. La deuxieme partie est constituee d’un dictionnaire comprenant quelque 260 articles ou sont decrits pres de 500 mots ou emplois caracteristiques du francais de ces regions. Ceux-ci sont illustres par de nombreux exemples puises dans diverses sources (œuvres litteraires, journaux, chansons, films). Le dictionnaire indique en outre l’origine des mots traites.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".