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Record W2965186844 · doi:10.1017/jbr.2019.5

A Nova Scotia Scheme and the Imperial Politics of Ulster Emigration

2019· article· en· W2965186844 on OpenAlexaboutno aff
Amy Dunagin

Bibliographic record

VenueJournal of British Studies · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaEmigrationPoliticsIrishScotsAmbivalenceHistoryLawPolitical scienceEconomic historyArchaeologyArt

Abstract

fetched live from OpenAlex

Abstract Early in 1761, a land promoter of Ulster origin named Alexander McNutt brought before the British Board of Trade a proposal to settle several thousand Ulster Scots in Nova Scotia. The board enthusiastically approved, but when McNutt returned the following year with promising news, the board forbade him from continuing the scheme, citing fears of losing Protestants in Ireland. This episode has generally been explained as evidence of the British government's ambivalence about Ulster emigration. However, rather than expressing merely a tension between two equally desirable but conflicting goals—peopling the American colonies with Irish Protestants and protecting the Ascendancy by preventing their emigration—the board's change of mind reflected the changing political environment. The board that approved McNutt's scheme strongly favored settling Nova Scotia quickly; the board that shut it down a year later included new members who viewed settling Nova Scotia as a waste of precious funds. The case of Alexander McNutt demonstrates the profound ramifications of party politics for Ulster migration during the imperial crisis of the 1760s and 1770s. It further affirms that studies of Ulster migration must be imperial in scope.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.251
Threshold uncertainty score0.504

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.008
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0010.001
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 head0.022
GPT teacher head0.237
Teacher spread0.215 · 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
Published2019
Admission routes1
Has abstractyes

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