Poésie et ironie chez Jean-Aubert Loranger, Saint-Denys Garneau, Roland Giguère et Jacques Brault
Bibliographic record
Abstract
This dissertation deals with irony in twentieth-century Québécois literature, more specifically in the works of Jean-Aubert Loranger, Hector de Saint-Denys Garneau, Roland Giguère, and Jacques Brault. Although it is clear that the patriotic imperatives of French-Canadian romanticism favoured a form of lyricism that enhanced the epic material, this dissertation aims to show that Québécois poetry also includes another romanticism, best understood through irony. The irony in question is not rhetorical; rather it derives from German romantic philosophy in the sense that it defines itself less as a figure of speech than as a mode of understanding the world through astonishment and scepticism. This double pull – toward astonishment and toward scepticism – is precisely what the poems of Loranger, Saint-Denys Garneau, Giguère, and Brault explore. In accordance with the Greek etymon eîron (the one who questions), the irony they use questions obvious facts and established values, starting with those related to poetry itself. By adopting a self-reflexive position and by turning to other forms like the tale and the fable, both subject to playfulness, humour and levity, the writers always keep a distance from poetry. But poetry is not the sole target of their irony. It also aims at reality and the clichés that make reality artificial. It is, in addition, directed at the poet himself and the poetic “I”, both perceived as suspicious constructions. Nevertheless, their irony subtly displays a certain tenderness towards what it derides. Thus, its detachment does not give way to any feeling of disgust or bitterness.This dissertation is divided into five chapters. The first one intends, in an introductory way, to reread romanticism by focusing on the critical spirit of poetry, which takes the form of a metaphysical irony. This specific type of irony is what is closely examined in the next four chapters, dedicated respectively to the works of Loranger, Garneau, Giguère, and Brault. Such a chronological structure highlights the overall coherence of the corpus; it also sheds light on a spirit of levity and an ethics of distance that play a decisive role in the Québécois poetic modernity.
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 | 0.010 | 0.008 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".