Lâintégration des écrivains immigrants au Québec. La reponse ironique de Dany Laferrière
Bibliographic record
Abstract
The social and cultural fabric of Québec has been profoundly transformed for about twenty years. Québec, and in particular Montréal, have now become increasingly plural. As countries of immigration, Canada and the United States have established and recognized traditions of immigrant and minority literature. But for Canada this tradition has been mainly if not exclusively expressed in English. The historical context of Québec literature, reflecting the close association between the French language and a single cultural community, made impossible until recently the inclusion of minority voices within the framework of the Québec literary institution. In the younger generation, identities are still only defined by starting from a pre-established cultural and family background, perhaps Québécoise, but perhaps also Haitian, Algerian, Chinese, or Polish. In an almost irreversible way, the borders move or are reduced. Dany Laferrière, writes from a space which is at the same time both within, and peripheral to, Québec society. His marginality is expressed both explicitly in the thematic material of his writing and textually through choices of language and form. The provocative blend of continuity and difference, affiliation and dissidence expressed in the work of this writer, as well as the importance he gives to language, mark this writing as a significant development in Québec literature.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.069 | 0.007 |
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".