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Record W4410703291 · doi:10.1353/jowh.2025.a960909

Marie-Joseph Angélique and Marie Manon: Remembering Slavery in Canadian History

2025· article· en· W4410703291 on OpenAlexaboutno aff
Emily Macgillivray

Bibliographic record

VenueJournal of women's history · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsArtArt historyHumanitiesPsychoanalysisPsychology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.323
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.008
GPT teacher head0.209
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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