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Record W1980536609 · doi:10.1177/0486613403261110

On the Rise of the West: Researching Kenneth Pomeranz’s Great Divergence

2004· article· en· W1980536609 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueReview of Radical Political Economics · 2004
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsGreat DivergenceProductivityChinaEconomyCredibilityIntervention (counseling)Divergence (linguistics)EconomicsGeographyPolitical scienceEconomic historyEconomic growthArchaeologyLaw

Abstract

fetched live from OpenAlex

For a long time, scholars have tried to explain why Europe alone of the great civilizations of the world achieved a profound transformation in output and productivity in the nineteenth century. Ken Pomeranz’s The Great Divergence is a recent, highly praised intervention in this debate. He argues that, as late as 1800, Chinese living standards and productivity levels were comparable to European ones. What allowed England to industrialize first were plentiful supplies of coal and vast land-saving resources in the New World. But Pomeranz’s claims lack empirical credibility. Over the period 1700–1850, most of Western Europe was on a trajectory away from the Malthusian limitations of the old regime as a result of sustained improvements in both land and labor productivity. The ecological benefits provided to England by American imports were not significant compared to the actual and potential expansion of intra-European trade. China was unable to attain any industrial breakthrough despite enjoying a much greater “ecological windfall” from the acquisition of new territories in central and southwestern Asia after 1500.

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.047
GPT teacher head0.264
Teacher spread0.217 · 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