La régionalité dans les fictions québécoises d’aujourd’hui. L’exemple de Sur la 132 de Gabriel Anctil
Bibliographic record
Abstract
Cet article vise à repérer des manifestations de la régionalité dans le discours médiatique sur la littérature québécoise contemporaine de même que dans un roman (Sur la 132, Gabriel Anctil, 2012), qui s’inscrit directement dans la vague que semble décrire la critique journalistique de l’année 2012. L’auteur discute les topiques associées à la régionalité, une exotisation des lieux qui est porteuse de tensions sociales et familiales : se trouvent opposés le caractère brut, viril et authentique de la vie régionale à l’artificialité stérile et raffinée des villes. Les fictions contemporaines qui représentent la régionalité renouent autant avec le territoire plus ou moins périphérique qu’avec la filiation (tradition discursive, famille).Taking into account the tendencies of journalistic criticism of 2012, this article seeks to identify the values associated with regionality in media discourse dealing with contemporary québécois fiction, as well as in Gabriel Anctil’s novel Sur la 132 (2012). The contrast between the virile, crude and authentic attributes associated with regional life and the sterile and refined artificiality associated with cities leads the author to discuss the issues associated with the subject of regionality, an exoticisation of space indicative of social and familial tensions. He suggests that contemporary québécois works of fiction depicting regionality are often also trying to deal with issues of heritage, renewing their relationship not only with remote and not-so-remote territories, but also with the question of filiation (discursive heritage, family).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.013 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".