The Legend of La Corriveau: Québécois Folklore and The Politics of Nation-Making in Canada
Bibliographic record
Abstract
This dissertation examines the role played by Québécois folklore in Canadian metanarratives of nation using as a case study "La Corriveau," a Québécois murderess whose folkloric tale emerged during the pivotal British Conquest of New France in 1760.It analyzes how the figure of La Corriveau expresses and mediates conflicts between English and French Canada in both literary traditions.Reading through intertextual and interlingual lenses francophone and anglophone texts addressing the legend of La Corriveau such as Philippe Aubert de Gaspé's Les anciens Canadiens (1863), William Kirby's The Golden Dog (1877), Victor-Lévy Beaulieu's Ma Corriveau (1973), Anne Hébert's La cage (1990), and Douglas Glover's "La Corriveau" (1993), as well as examining La Corriveau's portrayal in life writing, popular film, and the global marketplace, this dissertation argues that the legend and its reinterpretations are reworked by both Québécois and English-Canadian authors in a desire to recuperate the figure for distinct national metanarratives of Québec and English Canada.For Québécois writers, the legend has provided a semantically flexible focal point for national image-making across a range of historical contexts and ideological positions, from French-Canadian survivance to Québécois nationalism and settler nationalism.For English-Canadian writers, meanwhile, and in constant dialogue with Québécois uses of the legend, La Corriveau has been made to serve an equally complex and often contradictory role in narratives that alternately (and sometimes simultaneously) reinforce, question, and rewrite English-Canadian metanarratives of romantic nationalism.As it traces ongoing conversations among Québécois, English-Canadian, as well as other francophone and anglophone revisions of the legend, this dissertation shows not only how La Corriveau First and foremost, I would like to thank Dr. Elspeth Tulloch for introducing me to Canadian literature.She made what I assumed would be dry material engaging to the extent that it became one of my areas of research.In particular, our courses on the place of Québec in Canada made me think a lot about my place as an anglophone Laotian Canadian pursuing an English degree in a francophone city, in an Anglo-dominated country.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.042 | 0.017 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".