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Forging a British World of Trade

2019· book· en· W4230353428 on OpenAlexaboutno aff
David Thackeray

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicMetallurgy and Cultural Artifacts
Canadian institutionsnot available
Fundersnot available
KeywordsForgingHistoryInternational tradeEconomicsEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Abstract Brexit is likely to lead to the largest shift in Britain’s economic orientation in living memory. Some have argued that leaving the EU will enable Britain to revive markets in Commonwealth countries with which it has long-standing historical ties. Their opponents argue that such claims are based on forms of imperial nostalgia which ignore the often uncomfortable historical trade relations between Britain and these countries, as well as the UK’s historical role as a global, rather than chiefly imperial, economy. This book explores how efforts to promote a ‘British World’ system, centred on promoting trade between Britain and the Dominions, grew and declined in influence between the 1880s and 1970s. At the beginning of the twentieth century many people from London, to Sydney, Auckland, and Toronto considered themselves to belong to culturally British nations. British politicians and business leaders invested significant resources in promoting trade with Australia, Canada, New Zealand, and South Africa out of a perception that these were great markets of the future. However, ideas about promoting trade between ‘British’ peoples were racially exclusive. From the 1920s onwards colonized and decolonizing populations questioned and challenged the bases of British World networks, making use of alternative forms of international collaboration promoted firstly by the League of Nations and then by the United Nations. Schemes for imperial collaboration amongst ethnically ‘British’ peoples were hollowed out by the actions of a variety of political and business leaders across Asia and Africa who reshaped the functions and identity of the Commonwealth.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.692
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0180.001

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 head0.030
GPT teacher head0.274
Teacher spread0.244 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations13
Published2019
Admission routes1
Has abstractyes

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