Le circuit complexe du quinquina entre le Pérou et l’Hôtel-Dieu de Québec, au milieu du XVIIIe siècle
Bibliographic record
Abstract
Les soeurs Duplessis qui étaient religieuses à l’Hôtel-Dieu (l’hôpital de Québec) étaient en correspondance avec un apothicaire dieppois nommé Jacques-Tranquilain Féret. Elles lui demandaient d’expédier à Québec les drogues et médicaments dont leur apothicaire avait besoin. Parmi celles-ci se trouvait le quinquina qui venait de Callao au Pérou par bateau, passait le cap Horn, puis gagnaient le grand port espagnol, Cadix. Elles étaient ensuite embarquées pour Rouen, le port français pour les drogues américaines. Les denrées péruviennes étaient alors transportées par des petits bateaux de pèche à Dieppe où Féret les recevait. L’apothicaire expédiait ensuite le quinquina par des bateaux qui partaient de Rouen ou de La Rochelle à destination de Québec. Ces drogues péruviennes devaient donc traverser deux fois l’Océan avant d’arriver en Amérique du Nord.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".