Le nerf de la guerre. Finances et métissage des expéditions françaises de la première guerre des Renards (1715–1716)
Bibliographic record
Abstract
Abstract Financing is one of the three main problems encountered by armies, together with supply and recruitment. When funds are insufficient, as they often are, it may be necessary to find alternative financial, tactical, and technical expedients in order to continue waging war. Such was the case in New France, where financial constraints were particularly acute during the campaigns against Amerindians. Indeed, during the Fox Wars of the early eighteenth century, the shortage of funds was so severe as to impact directly the nature of military operations. This article examines the expeditions launched from Montréal toward the Fox territories in present-day Wisconsin in 1715 and 1716. It shows how lack of funds elicited a creative response from colonial authorities, resulting in a culturally syncretistic method of warfare, adapted both to the physical environment of North America and to the Native art of waging war.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".