Daughters of the King and Founders of a Nation: Les Filles du Roi in New France
Bibliographic record
Abstract
The late seventeenth century was a crucial era in establishing territorial claims on the North American continent. In order to strengthen France's hold on the Quebec colony, Louis XIV sent 770 women across the Atlantic at royal expense in order to populate New France. Since that time, these women known as the filles du roi, have often been reduced to a footnote in history books, or else mistakenly slandered as women of questionable morals. This work seeks to clearly identify the filles du roi through a study of their socioeconomic status, educational background, and various demographic factors, and compare the living conditions they had in France with those that awaited them in Canada. The aim of this undertaking is to better understand these pioneer women and their reasons for leaving France, as well as to identify the lasting contributions they made to French-Canadian culture and society.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".