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Record W2534556357 · doi:10.1017/s0018246x16000297

FROM<i>REQUÊTE</i>TO PETITION: PETITIONING THE MONARCH BETWEEN EMPIRES

2016· article· en· W2534556357 on OpenAlexaboutno aff
Hannah Weiss Muller

Bibliographic record

VenueThe Historical Journal · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLinguistic and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMonarchyGlobeHistoryEmpireLawPolitical scienceAncient historyGenealogyPolitics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score0.682

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.019
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.041
GPT teacher head0.229
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2016
Admission routes1
Has abstractyes

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