Bibliographic record
Abstract
En):In the novel Autoportrait de Paris avec chat (Boréal, 2018), Dany Laferrière, writer from the periphery, reaches the centre.The article is a questioning of the universe or rather the universes (and their centres) that Dany Laferrière creates in his texts."My heart is in Port-au-Prince, my body in Miami and my soul in Montreal" -he said several times during interviews 1 .The analysis of the novel Autoportrait de Paris avec chat questions Laferrière's relationship with Paris, which represents a new anchor point in his life.By considering Paris less a city than a "novel", Dany Laferrière transcends geographical and linguistic as well as literary and artistic borders.Time is erased in his vision of the city, the many faces of which are brought up to date.In the author's eyes, Paris reappears as an imaginary centre and a source of inspiration for literary authors and artists since the Middle Ages.The purpose of the article is to demonstrate in what sense this Parisian "drift" opens up new perspectives to the message of Laferrière's work.In his text, Paris reveals itself as a universal, historical and mythical city, but also a place that can rejuvenate and reborn, a centre of hope and of the future.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.013 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".