“Une plus brillante moisson de citoyens sains et robustes”: Eugenic Discourses in French Canada (1902–10)
Bibliographic record
Abstract
The Association des médecins de langue française d'Amérique du Nord (AMLFAN) was founded in Québec at the turn of the twentieth century. The physicians who convened at the Association between 1902 and 1910 shared a concern for the degeneration of the French-Canadian "race" under the effects of alcoholism, tuberculosis, and syphilis. For hygienists such as Arthur Rousseau and Charles-Narcisse Valin, this state of degeneration called for hygienic measures that would help regenerate and improve the French-Canadian race. While their suggestion that marriages be matched scientifically in order to prevent the transmission of hereditary and acquired defects from parent to offspring may be reminiscent of eugenics, French-Canadian physicians seemed to have no knowledge of Sir Francis Galton - eugenics' "founding father" - and his work on the topic. This article compares French-Canadian eugenic discourses with Galtonian eugenics in order to shed light on the particularities of the French-Canadian case.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.045 | 0.030 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 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".