Marie-Joseph Angélique and Marie Manon: Remembering Slavery in Canadian History
Bibliographic record
Abstract
Abstract: Focusing on twentieth-and-twenty-first-century representations of slavery in eighteenth-century New France, including in a play, a documentary film, and podcast episodes, demonstrates how centering the African diaspora successfully counters Eurocentric narratives by emphasizing the historical roots of anti-Blackness in Canada. However, as an unintended side effect, these works minimize the dominant mode of slavery in eighteenth-century New France—the enslavement of Indigenous peoples. This lack of engagement with Indigenous histories is illustrated by the little attention paid to the relationship between Marie-Joseph Angélique, an enslaved woman of African descent who was executed for setting a fire that burned Montréal in 1734, and Marie Manon, an enslaved woman of Indigenous descent who played an important role in Angélique’s trial. Remembering Manon demonstrates how historians, authors, playwrights, and artists can grapple with and narrate complicated, entwined histories of Black and Indigenous peoples within the development of the Canadian patriarchal settler state.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.041 | 0.020 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".