L’analyse de l’énonciation et de l’hétérolinguisme dans Hadassa de Myriam Beaudoin
Bibliographic record
Abstract
Nous examinons la présence des langues et des variétés de langue dans Hadassa de Myriam Beaudoin (2006). Le roman illustre la circulation du français, de l’anglais, du franglais, du yiddish et de l’hébreu dans la municipalité d’Outremont et le quartier du Mile End. Le plus important objectif de l’article est l’étude du lien entre l’hétérolinguisme et la pratique langagière des protagonistes. Nous procédons par induction, parce que nous déchiffrons la conception du monde des écolières hassidiques à partir de leur pratique langagière. Nous déterminons les facteurs qui motiveraient le changement de langue ou de variété de langue dans des situations d’énonciation spécifiques.
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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 | 0.010 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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 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".