L'image de Montréal et des ‘States’ dans l'œuvre d'Antonine Maillet et de Claude LeBouthillier
Bibliographic record
Abstract
Given the injustices Acadia and French-speaking Acadians have suffered throughout the course of history at the hands of various groups, including the Quebecois, there is a somewhat bitter-sweet or ambivalent view of Quebec and the Quebecois, and, especially, of Montreal in Antonine Maillet's and Claude LeBouthillier's works. This often paradoxical portrait of Montreal is principally the result of its status, on one hand, as a cultural and literary centre, indeed even as a centre of attraction, second in importance as a French-speaking metropolis after Paris and, on the other hand, of its status as an all-assimilating milieu within the context and the whole of North American or Canadian francophony. In addition to specifying the characteristics upon which Montreal's paradoxical portrait is based, this study will seek to explain the possible reasons for such a portrait of Montreal, as well as of the ‘States’, in Maillet's and LeBouthillier's works by taking into account each author's particular writing style.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.012 | 0.013 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".