Fourrures, commerce et guerre : Verchères de Boucherville dans le Haut-Canada (1803-1816)
Bibliographic record
Abstract
Gaétan Gervais porte son regard sur un personnage issu d’une famille appartenant à la noblesse canadienne. Il s’agit de Verchères Boucher de Boucherville qui, durant la période 1803-1816, mena des activités commerciales dans le Haut-Canada et, particulièrement, dans les environs d’Amherstburg, un fort britannique situé en aval de Détroit. Par l’étude du Journal qu’il laissa, notre collègue apprécie la place que tenait encore le commerce des fourrures et examine les rouages du commerce de détail, mais, surtout, il peut montrer comment, pour maintenir son statut social, la noblesse canadienne devait s’appuyer sur des réseaux solides de connaissances et de relations et, dans le cas de Boucherville, comment ses relations avec un homme d’affaires en vue, Quetton de Saint-Georges, et d’autres aristocrates et militaires que sa famille avait fréquentés, lui pavèrent la voie dans le monde du commerce de détail au temps de la Guerre de 1812.
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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 | 0.002 |
| Science and technology studies | 0.015 | 0.008 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".