Formes et figures du grotesque dans «La grande tribu : c’est la faute à Papineau!» de Victor-Lévy Beaulieu
Bibliographic record
Abstract
This thesis examines the role of the grotesque in Victor-Lévy Beaulieu's La Grande Tribu : c'est la faute à Papineau. It aims to show how the writer's primary aesthetics offers a new conception of Quebec's national past and society that subverts the initial project of the text and its original model, the epic. The hypothesis underlying this study is that the grotesque – through improbable mixings, hybridization, and metamorphosis – enables Lévy-Beaulieu to reflect on the ways the world has changed and to put the future of a community into words. The first chapter gives an overview of the main theories on the grotesque in order to turn its defining characteristics into concrete analysis tools. In this respect, the works of Mikhail Bakhtine, Wolfgang Kayser and Rémi Astruc are closely analyzed to provide the theoretical framework of this study. The second chapter deals with the various occurrences of the grotesque in La Grande Tribu in order to see how they participate – with an emphasis on the representation of the ways the body and language mutate – in shifting the plot into another reality altogether. Finally, the last chapter focuses on the specific relationship between time and historical continuity in the text. Under the influence of the "grotesque time", which minimizes the distance between past and present, La Grand Tribu drifts into an entropic temporality in which memory rules the characters' fate and complicates the plot by harking back to and repeating the past.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".