Healing Waters and Buffalo Bones: Using Women’s Histories to challenge the Patriarchal Narrative of Lac Ste. Anne, Alberta
Bibliographic record
Abstract
Most historical narratives have overlooked women’s roles in and Indigenous peoples’ relationships with the Roman Catholic church, such as that of Lac Ste. Anne, a 19th century Roman Catholic community in Alberta. Lac Ste. Anne was the first permanent Catholic mission west of the Red River settlement and frequently appears in historical documents and missionary histories. Women and Indigenous peoples, however, are scantily mentioned. In contrast to the dominant patriarchal narratives built from decades of male-based stories, I propose that women’s accounts from the settlement illuminate life and relationships between its inhabitants. Drawing on historical sources left by three Sisters of Charity (Grey Nuns), who maintained the chapel and founded the school and hospital in 1859, and oral histories from Victoria Callihoo, a Métis woman who lived in the settlement as a young girl, I will argue that the Catholic Fathers conflated women’s lives at Lac Ste. Anne into one over-simplistic patriarchal narrative. Additionally, when re-examined with a 21st century lens, these stories can inform the anthropological study of women at Lac Ste. Anne including their roles and responsibilities, living conditions, physical and social mobility, and relationships with colonialism.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.039 | 0.035 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".