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Record W2147120349 · doi:10.1017/s0080440100000062

THE DIVERGENCE OF ENGLAND: THE GROWTH OF THE ENGLISH ECONOMY IN THE SEVENTEENTH AND EIGHTEENTH CENTURIES

2000· article· en· W2147120349 on OpenAlexaboutno aff
E. A. Wrigley

Bibliographic record

VenueTransactions of the Royal Historical Society · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Spain
Canadian institutionsnot available
Fundersnot available
KeywordsVictoryHistoryDominance (genetics)ReignNavyEconomic historyQuarter (Canadian coin)FrontierAncient historyPower (physics)WelshPoliticsPolitical scienceLawArchaeology

Abstract

fetched live from OpenAlex

Abstract THAT something remarkable was happening in England in the quarter millennium separating the late sixteenth century from the early nineteenth is plain. In Elizabeth I's reign the Spanish Armada was perceived as a grave threat: the English ships were scarcely a match for the Spanish, and the weather played a major part in the deliverance of the nation. By the later eighteenth century the Royal Navy was unchallenged by the naval forces of any other single country, and during the generation of war which followed the French revolution, it proved capable of controlling the seas in the face of the combined naval forces mustered by Napoleon in an attempt to break the British oceanic stranglehold. Growing naval dominance was a symbol of a far more pervasive phenomenon. In the later sixteenth century England was not a leading European power and could exercise little influence over events at a distance from its shores. The Napoleonic wars showed that, even when faced by a coalition of countries occupying the bulk of Europe west of Russia and led by one of the greatest of military commanders, Britain possessed the depth of resources to weather a very long war, enabling her to outlast her challenger and secure a victory. The combination of a large and assertive Navy and dominant financial and commercial strength meant that, in the early decades of the nineteenth century, Britain was able to impose her will over large tracts of every continent. But her dominance did not grow out of the barrel of a gun. It derived chiefly from exceptional economic success: it grew out of the corn sack, the cotton mill, and the coal mine.

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)0.003
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: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0040.004
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.009
GPT teacher head0.173
Teacher spread0.164 · 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

Citations139
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueTransactions of the Royal Historical SocietySame topicHistorical Studies on SpainFrench-language works237,207