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Record W4409972926 · doi:10.1017/s0738248024000245

Properties of Empire: Contests over the Commons on Newfoundland's French Shore, 1763–83

2025· article· en· W4409972926 on OpenAlexaboutno aff
Arianne Sedef Urus

Bibliographic record

VenueLaw and History Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersChrist's College, University of CambridgeYale University
KeywordsEmpireShoreCommonsHouse of CommonsPolitical scienceArtEconomic historyHistoryLawFisheryBiologyParliamentPolitics

Abstract

fetched live from OpenAlex

Abstract France ceded territorial claims to Newfoundland to Britain in the 1713 Treaty of Utrecht, but French fishermen retained rights to operate seasonal cod fisheries along a stretch of coastline known as the French Shore. The treaty was one of several laws formalizing the property regime based on the commons that emerged among European fishermen in the sixteenth and seventeenth centuries. Several demographic and geopolitical changes converged after the Seven Years’ War (1756–63) to raise the question of whether French fishing rights on the French Shore were exclusive or concurrent with British fishing rights on that coast. Treaty and customary law seemed at odds on this question, forcing fishermen, merchants, naval officers, and ministers to articulate what constituted property and how property should be conceived if an interimperial commons were to work. The conflicts that transpired highlighted how they answered these questions differently. Agents of the state tended to promote the commons while some British subjects tried to create a real property regime from below. Disputes over real property formation on the French Shore show another dimension of the early modern enclosure process, demonstrating both the role of the commons in empire and the challenges of resource management in an interimperial space.

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: none
Teacher disagreement score0.077
Threshold uncertainty score0.558

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0050.007
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.039
GPT teacher head0.265
Teacher spread0.226 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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