Marrying a Redcoat: Women's Experiences of Marriage in the British Garrison of Quebec City, 1763-1820
Bibliographic record
Abstract
In 1763, following the Treaty of Paris, Quebec City officially became a major British garrison. As a result, there was a constant and substantial presence of Anglophone and Protestant young men, the majority of them single, in a city with a civilian population mostly French and Catholic. Over 600 of these military men married during their time in the city. However, previous historiography of the garrison of Quebec City has overlooked the women who became army wives. \nLooking at the period 1763-1820, this study examines women’s experiences of marriage in the British garrison of Quebec City with particular considerations of the social divisions between officers and soldiers’ wives. Marriage in the British garrison of Quebec happened in a specific colonial context, in which military, religious and political factors played out on marriages. Focusing on the women who married British soldiers or officers reveals that the garrison remained a distinct entity in Quebec City with a dominant British culture; at the same time, it was a porous entity that mirrored the cultural and social diversity of the city. The close proximity in which the military and the civilian populations lived in the urban space resulted in a significant degree of integration between the two populations through marriage. This study thus aims to demonstrate that although army wives were a minority of the military population, they were an integral part of the garrison and contributed to shaping Quebec City’s social dynamic throughout the British regime.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.029 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".