Bibliographic record
Abstract
Chapter 3 explores the relationship between women’s war making in the northeastern borderlands and propaganda. It argues that political and religious leaders used accounts of women’s martial activities to improve morale and influence policy at local, colonial, and imperial levels. Images of Amazons and other mythical and historical women warriors often appeared in this propaganda, establishing a precedent for women’s actions in North America and adding excitement and familiar literary figures that resonated with readers. In New France, Jesuit missionaries used the figure of the Amazon to positively portray Native female combatants as well as brave nuns who traveled to Canada. They also used their published reports, the Jesuit Relations, to urge wealthy French women to be brave like Canada’s Amazon-nuns and donate to the mission. In New England, officials held up women who made war (such as Hannah Dustan) as positive, Christian role models when morale was low, and writers such as the Rev. Cotton Mather sent accounts of women’s war making to England in attempts to shape imperial policy.
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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 | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.038 | 0.005 |
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".