L'Américanité des «Fous de Bassan» d'Anne Hébert: une lecture faulknérienne
Bibliographic record
Abstract
This thesis explores the notion of « americanité » in Anne Hébert's novel Les Fous de Bassan. It analyses the novel's relationship to the continent through two different approaches of expressing the American experience. The first one – the novel's affiliation with American literature – is observed through its references to William Faulkner's The Sound and the Fury (1929). The second – the preference for a form that conveys Americanness – is analyzed through the novel's language use. By studying how Les Fous de Bassan narrates America, this work situates the novel in both its Quebec and its American contexts. The thesis identifies opposite textual strategies in the novel. Les Fous de Bassan's content seems to be permeated with The Sound and the Fury, and Hébert's borrowings show a proximity to her Faulknerian precedent. However, the novel integrates its intertext in a fashion that makes its references to America implied rather than exposed. Also, the novel is predominantly written in accordance with the French linguistic norm. While the intertextual perspective concentrates on what seems inspired by The Sound and the Fury, the sociolinguistic perspective highlights the distinctive traits of each novel. Les Fous de Bassan's reluctance to incorporate nonstandard languages (a strategy Faulkner is more inclined to use) shows a tension between an American subject and a French form. This thesis claims that such a tension reflects an ambivalent attitude, similar to the one Quebec maintains towards the continent. While it is a part of America, the province is also separate from it, in part due to its French language. The thesis thus shows how Les Fous de Bassan's « américanité » is tempered by its language, defining the novel's own answer to a more general ambiguity in relation to the American dimension of Quebec literature.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".