Le mythe du "Great American Novel" en littérature Québécoise: Victor-Lévy Beaulieu, Louis Hamelin et Daniel Grenier
Bibliographic record
Abstract
This thesis offers a reflection on “américanité” centered on the emergence and reactivation of the myth of the Great American Novel in Québécois literature through three works: Monsieur Melville (1978) by Victor-Lévy Beaulieu, La constellation du Lynx (2010) by Louis Hamelin and L’année la plus longue (2015) by Daniel Grenier. The dream of the Great American Novel, which originates from the United States’ literary history, correlates the emergence of a young nation and the affirmation of its literature: starting from the end of the Civil War, critics and writers have expressed the desire of a total novel which would come to expose their country’s national identity. These three texts problematize this myth and adapt it to their local context. Our objective will be to draw, through a comparative and socio-critical analysis, a global portrait of the transformations subjected to this almost unprecedented model in province’s literary sphere. We will define, in dialogue with existing criticism, the peculiarities and the established criteria of this literary form in order to observe the particular way in which Beaulieu, Hamelin and Grenier refer to this model. Such an analysis will lead us to trace the evolution of the theme of national ambition in these Québécois reworkings of the Great American Novel. Particular attention will be paid to the lineage these authors claim to have with American authors, but also to the narrative structure of the doomed quest for knowledge found in each of the diegeses. This comparison will lead us to conclude that the model of the Great American Novel is a very malleable form in the Québécois context and that it, in such, reveals itself as a particularly effective fictional device for renewing the novelistic genre both as a popular form aimed at a wider audience and as a “scholarly” form which never ceases to play with its own codes
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".