A Great and Noble Scheme: The Tragic Story of the Expulsion of the French Acadians from Their American Homeland
Bibliographic record
Abstract
This book is a model of how to do North American history. Scholars often talk of a way North American history can be presented that will bring U.S. and Canadian history into the same framework (although Mexico is rarely mentioned in this context), but few actually do it. John Mack Faragher shows how it can be accomplished. He tells the story of the French-speaking Acadian settlers who were expelled from Nova Scotia in 1755 and scattered throughout the Atlantic world, with the largest number of refugees eventually ending up in Louisiana. The story is well known but in Faragher's sure hands it takes on a much wider significance—not just for North American history but for world history. In this meticulous account no dimension is left unexplored. Faragher weaves together British and French imperial history, the history of the various Euro-settlers in Massachusetts and other English Atlantic colonies, and the history of native peoples such as the Mikmaq, Abenakis, and Maliseets, all of whom shaped the region's history in this era. He portrays the Acadian settlers as a people trying to occupy a middle ground in Nova Scotia as the imperial struggle between France and Britain for North America reached its most intense phase in the middle decades of the eighteenth century. Like the Native Americans who were similarly situated in the Ohio and Great Lakes country, the Acadians had to be resourceful, tenacious, and creative in their interactions with French and British regimes. In the end, the middle ground proved untenable, and seven thousand Acadians were expelled.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.034 | 0.012 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".