FROM<i>REQUÊTE</i>TO PETITION: PETITIONING THE MONARCH BETWEEN EMPIRES
Bibliographic record
Abstract
Abstract This article uncovers a transimperial culture of petitioning that eased the transition for subjects who moved between the French and British empires. Although the petition was hailed as the birthright of Britons, and has consistently drawn attention from historians of Britain and its empire, this did not mean that petitioning was unknown elsewhere. Indeed, Quebec, which was transferred from France to Britain at the close of the Seven Years’ War (1756–63) and experienced lengthy periods of both French and British rule, provides an ideal site through which to document written traditions of expressing grievance. This article reveals not only that French subjects were familiar with addressing the monarch well before the British conquest, but also suggests an important continuity of form that transcended differences of language, shifting regimes, and imperial rivalries. The analysis of petitions from Quebec both before and after 1759 testifies to an identifiable commensurability in the lived experiences of inhabitants across the French and British empires, just as it underscores the petition's similar function in the overseas colonies more broadly. The petition's value to both subjects and sovereigns – its role in mediating relations between them across the globe – helps to explain its continued relevance in these two monarchical empires.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.019 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".