Représentation des guerres mondiales dans le roman Québécois: Le rôle du second plan dans le récit
Bibliographic record
Abstract
Quebec was less affected by the First and Second World War than the rest of the world. French Canadians didn't feel like they had to be involved in those conflicts that, seemed more European than international to them. The historical context reveals that the geographical distance between Quebec and Europe, as well as the estrangement of their identities regarding the countries that faced it, can explain this feeling they held. Studies about the war in Quebec novels indicate however that those conflicts take a part in the plot, even if they are present only as a backdrop. The aim of this master's thesis is to analyse this second plan action in order to show that the object of awareness that war constitute compels the characters to question themselves and their world and to act in accordance with their new way of thinking the world they live in. In analysing « Trente arpents » by Ringuet (1938), « Bonheur d'occasion » by Gabrielle Roy (1945), « Les Plouffe » by Roger Lemelin (1948), « La Guerre, yes sir! » by Roch Carrier (1968) and « L'Emmitouflé » by Louis Caron (1977) and in taking the definitions of aventure and idylle that Isabelle Daunais gives to read in her essay « Le roman sans aventure », we argue that the war, although it most often remains in the background, embodies, for the character, the representation of an adventure that makes him/her imagine what goes on beyond him/her and what can transform him/her.
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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 | 0.022 | 0.015 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".