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Record W2049716126 · doi:10.1017/s0022050703581803

<i>The Spirit of Capitalism: Nationalism and Economic Growth</i>. By Liah Greenfeld. Cambridge, MA: Harvard University Press, 2001. Pp. xi, 541. $45.00.

2003· article· en· W2049716126 on OpenAlexaff
John A. Hall

Bibliographic record

VenueThe Journal of Economic History · 2003
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Economic and Social Development
Canadian institutionsMcGill University
Fundersnot available
KeywordsCapitalismNothingNationalismProtestant work ethicProtestantismIrrationalityReputationPhilosophyNorm (philosophy)Religious studiesTheologySociologyLawPolitical scienceRationalityEpistemologyPolitics

Abstract

fetched live from OpenAlex

The title of this book attests to the fact that the author “communed” with Max Weber's famous thesis whilst doing her own research. She is absolutely at one with Weber—and Keynes!—in insisting that there is a spirit of capitalism, an irrationality underlying rational calculation whereby one continues to work even when one's needs have been met. Spirit of this sort is held to be a cultural idiosyncracy rather than an a universal norm. However, this spirit has nothing to do with religion, not least for the central reason given by Tawney—namely that Protestant reformers sought to control the economy quite as much as did their predecessors. The author offers us a bold and sustained alternative view: economic growth resulted from one thing and one thing only—the presence of nationalism.

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)0.002
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0010.004
Scholarly communication0.0040.010
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0150.008

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 head0.015
GPT teacher head0.174
Teacher spread0.159 · 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
GenreReview

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
Published2003
Admission routes1
Has abstractyes

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