Bibliographic record
Abstract
En 1727, Marie-Madeleine Hachard, jeune ursuline de Rouen, quitte la France avec des consœurs, appelées par le roi et la Compagnie des Indes à fonder un hôpital et une école à La Nouvelle-Orléans, en Louisiane, où tout est à bâtir. Ses lettres relatent son voyage en France, la longue et périlleuse traversée de l’Atlantique, la pénible remontée du mythique delta du Mississippi et les débuts de l’établissement des ursulines. Son sens de l’observation, son indéniable courage, sa franchise et son humour donnent à sa relation de voyage et de séjour une touche inusitée. Dans l’Amérique coloniale du XVIIIe siècle, ces femmes missionnaires sont confrontées aux enjeux politiques, religieux, sociaux et économiques de leur époque. Elles se démarquent de leurs confrères par leur liberté d’esprit et d’entreprise. Leur apport mérite d’être mieux connu. Cette édition éclaire aussi les relations entre la France, le Canada et la Louisiane, et les expéditions de Cavelier de La Salle autour du Mississippi.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".