Romanticism in Hubert Aquin's Prochain Episode : an intertextual reading
Bibliographic record
Abstract
This thesis focuses on the intertextuality related to Romanticism that has shaped Prochain Épisode . To portray his narrator's identity crisis Hubert Aquin chooses Romantic literary and revolutionary figures as models such as Honoré de Balzac associated to Ferragus, le chef des Dévorants in L'Histoire des Treize ; Lord George Byron, who died in Missolonghi fighting for Greek independence, as well as the English poet's literary doubles, Manfred, Le Chevalier Harold and François de Bonnivard, Le Prisonnier de Chillon ; Benjamin Constant, a writer and politician during the French Revolution; the Russian revolutionaries Nikolai Tchernychevski and Mikhail Bakounine, and the Italian Giuseppe Mazzini who incarnate liberalism. Prochain Épisode's Narrator portrays himself as a modern day knight invested with a double mission: the reconquest of his country and the search for a "Graal esthétique" ( P.E. 92). 1 This chivalric figure, revived in Romantic 19th century circles, is both the hero and poet of the tale which chronicles his heroic exploits. However, the Quebec fighter is doubly disillusioned. His political crusade finishes in failure and his search for an original literary style leaves him discouraged. He concludes mournfully, "Jérusalem seconde, cette unicité surmultipliée, n'est rien d'autre qu'une obsession de croisés" ( P.E. 92). This intertextual reference to Torquato Tasso's work on the invasion and subjugation of Jerusalem by crusaders is intertwined in his mind with the FLQ Patriots' mission to reconquer Quebec. The author and narrator are convinced that eventually someone else will take their place, avenge Quebec and fight for the country's next episode. There is no final revolution; revolutions are infinite. 1 Although the critical edition was consulted, all citings were taken from the first edition of Prochain Épisode , Le Cercle du Livre de France, 1965.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".