Repentance could weep unseen: Remembering Maison Sainte-Madeleine, 1850-1975
Bibliographic record
Abstract
While Irish Magdalen laundries have garnered considerable media attention, the existence of these institutions in Quebec remains relatively unknown. This project examines Maison Sainte-Madeleine, a refuge in Quebec City opened by the Sisters of the Good Shepherd of Quebec in 1850 with the purpose of reforming so-called “fallen women.” These early inmates, who were often alcoholics, sex workers and unmarried mothers, were only allowed to leave the asylum once the Sisters judged that they were ready to reintegrate into society. In the nineteenth century, inmates sewed and washed clothing as a means of atoning for their sins without payment for their work. In this early period, Maison Sainte-Madeleine relied on charity and revenue from the laundry for its maintenance. The Sisters of the Good Shepherd of Quebec enforced a strict schedule of prayer and work through surveillance and spatial separation. This project outlines the evolution of the built environment, as well as the living conditions and sources of income of the institution from its foundation to its closure. \nBy the mid-twentieth century, Maison Sainte-Madeleine underwent significant reforms, including the introduction of social workers and the compensation of inmates. The establishment’s modernization during the Quiet Revolution, coupled with the close relationship that the Sisters of the Good Shepherd entertained with the public, led to a divergence in the way these institutions are remembered in Quebec and Ireland. This study will argue that Maison Sainte-Madeleine did not receive the same amount of scrutiny as Irish Magdalen laundries because of its institutional trajectory, and because it was overshadowed in public memory by the Duplessis Orphans scandal.
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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 | 0.001 | 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 | 0.019 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".