Suivre le lilas et l’engoulevent d’Amérique – vers une identité transmigrante dans <i>La Route du lilas</i> par Éric Dupont
Bibliographic record
Abstract
Éric Dupont’s latest novel has been acclaimed as a “feminist road-trip” and a “true feminist and horticultural fresco.” This article studies the concept of transmigrant identity as embodied by one of three main female characters: Maria Pia, a Brazilian on the run, tries to reach the Gaspé Peninsula in Québec, with the help of two Americans, Shelly and Laura, who, every year, follow the journey of the blossoming lilac in North America. The concept of transmigrant identity belongs to Gilles Dupuis who, after examining literary connections between the Quebec literary canon, the so-called “de souche,” and the migrant one, argues the existence of an identity which permeates the writing style. Maria Pia’s journey which links the north and south parts of the American continent fits the trans-American aesthetic project that I have defined as “the new Quebecois meta-narrative.”
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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 | 0.012 | 0.010 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".