Ãcrire la « parlure » canadienne-française: la langue oralisée dans l'oeuvre d'Albert Laberge
Bibliographic record
Abstract
The work of Albert Laberge, an early 20th century French Canadian writer, has been the subject of numerous thematic studies. Considered as the first naturalist author in Quebec and as a representative of the âanti-terroir,â Laberge gained critics' attention with his dark sense of humor and cleverly laid out sordid stories. Despite the fact that critics recognize the value of Laberge's work, they feel uneasy about the way it is written. Laberge, like most of his contemporaries, introduces oralized language in his texts. However, as opposed to other writers of his time, he does not limit orality to dialogues; he also uses oralized language in the narrative voice of his texts, without using quotation marks or italics to signal the borrowing of terms from the popular register. This contact between normative and oralized languages was seen by critics as an indication that Laberge could not really master the language codes relevant to his profession and, as a result Laberge was identified as a minor author. The study of the introduction of oralized language in La Scouine and in Laberge's short stories indicates on the contrary that Laberge's stylistic work was constant and profound. The formal analysis of Laberge's writing shows that it works as a "récit oralisé," an oralized narrative (a concept developed by Jérôme Meizoz) and that it involves numerous hybrid constructions (a notion borrowed from Mikhail Bakhtin). This re-reading of Laberge's work from a formal and linguistic point of view places Laberge as one of the first Quebec writers of orality.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".