Hétérogène et judéité dans l'oeuvre de langue française d'une yiddishophone: l'exemple de « La Québécoite » de Régine Robin
Bibliographic record
Abstract
This thesis examines the novel La Québécoite, published by Régine Robin in Montreal in 1983, as an example of a French literary work written by a Yiddish-speaking author. While this novel has often been associated with « migrant writings » (or « Écritures migrantes ») in contemporary Quebec, the proposed reading method focuses more on the influence of Yiddish language and culture both in terms of thematics and formal procedures. By focusing on different points of contact between Eastern European Ashkenazi Jewish cultures and the Francophone cultures of France and Quebec, this research questions how the elements related to Jewishness help to extend and deepen heterogeneity in Robin's text. Studying the importance of intertextuality through a broad Jewish corpus allows us to situate a postmodern literary practice in relation to texts from various literary fields which nevertheless share similar roots or origins. The concepts of space and time linked to wandering and displacement highlight the tensions inherent to various social discourses in host societies through a deterritorialisation of French literature by the minority perspective of Yiddish literature. La Québécoite can be situated in a group of contemporary literary texts that place great emphasis to processes on memorialisation intrinsically connected to the survival and transmission of Yiddish culture.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.013 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".