Bibliographic record
Abstract
The Metamorphoses of Landscape and Community in Early QuebecIn the seventeenth and eighteenth centuries French settlers radically transformed the landscape of the St Lawrence river, creating strong local communities that became the crucibles of a New World nationalism.Drawing on the insights and methods of cultural history, Colin Coates examines the seigneuries of Batiscan and Sainte-Anne de la Perade, recreating the social relations between individuals and ethnic groups that inhabited the area.He shows that successive waves of immigrants sought to appropriate the landscape of the New World and replace it with a physical and cultural reality much closer to their European roots and traditions.French settlers distanced the indigenous people and flora and fauna to create a landscape that by the mid-eighteenth century had become recognizably European.British industrialists and landowners attempted similar appropriations with far less durable results and the area remained a heartland of French-Canadian life, with a sense of cohesive community.This community spirit, rooted in the agrarian landscape, was channelled into the developing sense of colonial nationalism of the 18203 and 18303.Drawing on maps by explorers and surveyors, correspondence documenting the conflict between a backwoods priest and his parishioners, a gentlewoman's sketchbook, and the documents of a bitter court case between a seigneur's wife and a local priest, Coates illuminates the development of the region and the social, cultural, and economic ties and tensions within it, providing insights into the often hidden values of a rural community.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.825 | 0.616 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".