Appréhender le monde selon la théologie naturelle : l’enseignement des sciences au pensionnat des Ursulines de Québec (1830–1910)
Bibliographic record
Abstract
Dans les années 1830, les Ursulines de Québec cherchaient à donner un nouvel essor à leur maison d’éducation. Parmi les nouvelles matières ajoutées à leur curriculum figuraient des leçons d’astronomie, de physique, de chimie, de botanique, de zoologie, de minéralogie et de géologie. Cet enseignement s’est perpétué jusqu’au XXe siècle. Pourquoi enseigner les sciences à des filles que l’on souhaitait « plus dévotes et vertueuses, que savantes »? Quatre finalités émergent de l’analyse : attirer les pensionnaires, leur révéler l’œuvre du Créateur, développer leur sens pratique et les instruire. Les leçons de sciences des Ursulines, ancrées dans la théologie de la nature et fondées sur des exercices pratiques, apparaissent conformes au modèle d’éducation des filles promu à l’époque. Elles s’en distinguent néanmoins par la valeur accordée à l’instruction des demoiselles.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".