Bibliographic record
Abstract
« Comme vous pécheriez mortellement, si vous empêchiez la conception, vous devez bien prendre garde de ne jamais laisser perdre la semence et, pour cela, lorsque vous consommez l’acte de mariage, vous devez vous mettre sous votre mari. » (curé Asselin de l’île aux Coudres) Cour supérieure de Montréal, 1880 Marie-Zoé-Aimée Renaud contre François-Xavier-Anselme Trudel Découvrez une femme qui se débat face à l’autoritarisme marital, qu’on présentait au procès comme « folle », une résistante solitaire, dévoilant par le procès qu’elle avait intenté à son ultramontain de mari, pour séparation de corps, la réalité d’un ultramontanisme conjugal, la pesanteur de la soumission. Il est rare qu’on puisse entrer dans l’intimité d’un couple du xixe siècle pour y voir à l’œuvre une histoire des femmes qui passe par un combat domestique, modeste, perdu malgré la pugnacité de la demanderesse.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.021 | 0.007 |
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".