Bibliographic record
Abstract
This article examines Dany Laferrière's practice of rewritingthemes, characters, and scenes from hisearlyworks. It argues that hisrepurposing of novelistic material, which may suggestthe exhaustion of authorial creativity, is in facta strategy to create a coherent oeuvre in which worksecho and promote each other. Using Journal d'un écrivainenpyjama (2013) as a text that both exemplifies and theorizes Laferrière's aesthetic, the essayshows how and why the author recycles. Analysis of recurrent scenes establishes that Laferrière's works advance byaccretion. Further examination of figures of the author (as a dandy, rock star, in pyjamas, etc.) stresses his parody of the literary taxonomies critics have used to characterize his work (a Haitian, Québécois, migrant author, etc.). Parody aside, Laferrière's repetitive textual patterns and his publishers' marketing techniques have turned him into a brand image that leaves him little choice but to satisfy readers'expectationsof familiar tropes. The author'srecycling technique is at once a critical tool to interrogate the cultural logic of the presentand a means of accruing economic capital.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.015 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".