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Colonial Emigration, Public Policy, and Tory Romanticism, 1783–1830

2009· book-chapter· en· W2462478501 on OpenAlexaboutno aff
Karen Fisher and Robert O'Brien

Bibliographic record

VenueBritish Academy eBooks · 2009
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismEmigrationRomanticismIrishPopulationBritish EmpirePoliticsRomanceLiberalismState (computer science)Settlement (finance)EmpireHistoryPovertyWhite (mutation)Political sciencePolitical economyEconomic historySociologyLawLiteratureArtEconomicsDemographyArchaeology

Abstract

fetched live from OpenAlex

This chapter focuses on white colonial emigration and the settlement of the British and Irish following the loss of the first British Empire. In particular, it examines the British imaginative engagement with the figure of the colonial settler as a casualty of war, industrialization, and poverty, as well as an economic migrant who nevertheless appeared to signify the potential for the recuperation of British society in the future. The chapter is also concerned with the role of the Romantic writers and literature in the new national imaginative investment in colonial settlement. It furthermore discusses Tory arguments and policy making, which encouraged state involvement and planning of the colonization of the white-settler territories in New South Wales, Canada, the Cape, and New Zealand. This Tory strain of British imperialism was issued out from the Romantic critique of classical political economy and the Romantic assault on Malthus’s non-interventionist stance on poverty. In contrast to the liberal economists, proponents of the Tory arguments advocated the active involvement of the state in managing poverty, and the export of the excess of the population to the overseas colonies. By focusing on the Tory outlook and its implications for the settler colonies, including the imaginative dimension of the literary writers, the chapter gives a profound understanding on the strand of imperialism that evolved together with the nineteenth-century imperial liberalism, yet substantially differed from it.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.177
Threshold uncertainty score0.352

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.011
Scholarly communication0.0050.001
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.037
GPT teacher head0.219
Teacher spread0.183 · 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 designTheoretical or conceptual
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

Citations6
Published2009
Admission routes1
Has abstractyes

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