A Community of Individuals: Household Connections in the Making of Montréal, 1642-1763
Bibliographic record
Abstract
To explore the diverse connections that shaped Montréal, this project traces the familial and economic networks created by three generations of four French families, each involved in distinct enterprises that were emblematic of Montréal society: the fur trade, the military, French colonial governance, and monastic life. Together, these enterprises influenced the ever-changing character of Montréal. Each chapter examines one household - that of Ignace Gamelin Jr., a merchant; Luc de La Corne, a decorated soldier; Governor Charles Le Moyne de Longueuil; and Marguerite Dufrost de Lajemmerais (d’Youville), the founder of the Sisters of Charity (Grey Nuns) (1737) in Montréal - in order to examine how these different and frequently overlapping enterprises could shape or create opportunities for the diverse members of each household in Montréal and beyond. The members of the four households under study included direct kin and unrelated peoples of European, Indigenous, and African descent, of different socio-economic, occupational, ethnic, and gendered backgrounds. I study the representatives of each occupation to show the different opportunities afforded to household members to interact with others and to participate in varying administrative, commercial, and social activities. Although the context and type of relations differed, including the fact that some were based on unequal legal and social relations or gender and ethnic boundaries, the networks that each family formed illustrate the different ways by which Montréal was connected to the broader North American continent and the Atlantic World.
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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 | 0.002 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".