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Record W4406898583 · doi:10.18254/s207987840032302-1

The Colonial Policy of Great Britain in the Assessments of English Intellectuals of the 18th Century

2024· article· en· W4406898583 on OpenAlexaboutno aff
Tatiana L. Labutina

Bibliographic record

VenueIstoriya · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismHistoryEconomic historyPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

Based on the works of famous intellectuals of the Enlightenment (D. Defoe, J. Swift, Halifax, Ed. Burke, Ed. Fletcher, J. Priestley, B. Mandeville etc.), the author for the first time in historical science addresses their views on the colonial policy of Great Britain in the XVIII century. Enlightenment figures who defended “land” interests (Party of Tories), criticized the actions of the authorities, since any external expansion (wars or the seizure of colonies) undermined the economic base of landowners. Supporters of “monetary” interests (Party of Whigs), approved of the policy aimed at expanding the territorial possessions of England, became initiators of projects to improve the army and navy, as they saw guarantees of successful territorial conquests. In the second half of the 18th century, with the growth of democratic transformations in the country, most intellectuals began to oppose colonial wars. They approved of the liberation wars of the North American colonies, India, and Ireland, and also advocated the right of nations to self-determination.

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)0.005
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 score0.095
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.010
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.349
Teacher spread0.320 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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