Stanley Péan’s Intertextual <i>Détours</i> : The Forest for the Trees
Bibliographic record
Abstract
The intense intertextuality of Stanley Péan’s novels belies their most common categorization as thriller or fantastical horror genre fiction. This little-studied Québec writer’s work is replete with explicit and oblique references to texts from a wide variety of times, places, and cultural contexts. Examining selected intertexts in Péan’s three novels for adults – Le tumulte de mon sang (1991), Zombi blues (1996) and Bizango (2011) – this article argues that the tactical adoption of mystery and thriller conventions camouflages the works’ deeper social commentary. Using Édouard Glissant’s theory of Détour as a critical framework for textual camouflage, this article shows how Péan’s texts appear to do one thing while actually doing quite another. Just as the eponymous character of Bizango, the “human chameleon,” takes on the appearance of others to achieve his goals, Péan’s texts camouflage themselves as genre literature. The novels use intertextual engagement to articulate poignant transhistorical and transcultural commentaries on injustice.
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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 | 0.000 | 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 | 0.011 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".