L’éruption patriote: The Revolt against Dalhousie and the Petitioning Explosion in Nineteenth-Century French Canada
Bibliographic record
Abstract
As much as any other site in the nineteenth century, Francophone Lower Canada saw immense waves of popular petitioning, with petitions against British colonial administration attracting tens of thousands of signatures in the 1820s. The petition against Governor Dalhousie of 1827–28 attracted more than 87,000 names, making it one of the largest mass petitions of the Atlantic world on a per-capita scale for its time. We draw upon new archival evidence that shows the force of local organization in the petition mobilization, and combine this with statistical analyses of a new sample of 1,864 names from the anti-Dalhousie signatory list. We conclude that the Lower Canadian petitioning surge stemmed from emergent linguistic nationalism, expectations of parliamentary democracy, and the mobilization and alliance-building efforts of Patriote leaders in the French-Canadian republican movement. As elsewhere in the nineteenth-century Atlantic, the anti-Dalhousie effort shows social movements harnessing petitions to recruit, mobilize, and build cross-cultural alliances.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.021 | 0.008 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".