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Record W344573165 · doi:10.3138/cjh.35.2.275

Commerce, Industry, and the Laws of Newtonian Science: Weber Revisited and Revised

2000· article· en· W344573165 on OpenAlexvenueno aff
Margaret C. Jacob

Bibliographic record

VenueJournal of History · 2000
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChapelReading (process)LawPopulationSociologyEconomic historyClassicsPolitical scienceHistoryArt history

Abstract

fetched live from OpenAlex

The cultural resources that facilitated the move to industrial society in late eighteenth-century Britain remain opaque. In nearly one hundred years we have barely moved beyond the Weber thesis, and among economic historians culture has become a low priority. This essay challenges that narrowness, not by repudiating Weber, but by building upon his legacy. It begins with the problematic: why were so many early British industrialists, Unitarians? They were represented far in excess of their presence in the general population. The attempt to answer the question relies upon archives in Birmingham and Manchester, upon a close reading of letters and sermons by James Watt, Josiah Wedgwood, Joseph Priestley, and chapel oratory in both places. The project was made possible by a grant from the National Science Foundation in Washington, DC, and it builds upon material presented by the author in Scientific Culture and the Making of the Industrial West (Oxford University Press, 1997).

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)0.006
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.996
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0040.036
Scholarly communication0.0130.020
Open science0.0010.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.218
Teacher spread0.188 · 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.

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

Citations8
Published2000
Admission routes1
Has abstractyes

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