Filles du Roi : European way of solving demographic problems in the North American colonies
Bibliographic record
Abstract
Magdalena Paluszkiewicz-Misiaczek Filles du Roi: European Way of Solving Demographic Problems in the North American ColoniesHad some Canadians and Americans of French descend looked closer into their genealogic trees, probably they would discover that among their ancestors there are women known in historiography under the French term filles du roi (which translates literally as the daughters of the king).Yet, to the regret of such citizens this does not mean that they can boast of royal descend.It simply means that their foremothers came to North America within the framework of the first state-sponsored immigration programs or ganised under the auspices of the French King Louis XIV.From 1608 until 1663 the Colony of New France was under the administration of commercial companies and most of the people arriving to New France in the mid-1600s were young French men, usually farmers and fur trappers.There was also the Carignan-Salieres regiment sent to Quebec in 1665 to fight the Iroquois Indians.After a successful campaign and signing peace treaty the Regiment was withdrawn back to France, yet about 400 soldiers and officers, aged between 19 and 30 decided to remain in the colony as settlers.* 1 Relatively few women travelled to the new land, which cre ated considerable demographic problemthere were few women of marriageable age available.According the first census carried out in the colony, in the population of roughly 3000 people there were 719 unmarried males and only 45 unmarried females living in the colony.2 1 Les Filies du Roi•, http://eogn.typepad.com
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".