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Record W1970276789 · doi:10.1163/156920610x489162

Giovanni Arrighi in Beijing: An Alternative to Capitalism?

2010· article· en· W1970276789 on OpenAlexaff
Leo Panitch

Bibliographic record

VenueHistorical Materialism · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsYork University
Fundersnot available
KeywordsCapitalismDemiseState capitalismChinaBeijingState (computer science)PoliticsArgument (complex analysis)GlobalizationNeoclassical economicsEconomicsFree marketEconomyPolitical economyMarket economyEconomic systemPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract Giovanni Arrighi made a remarkably broad-ranging and original contribution to comparative political economy and historical sociology over five decades. His last book shares these qualities. But Adam Smith in Beijing is unfortunately not mainly about the origins and dynamics of Chinese capitalism over the past three decades. It presents Adam Smith not as the apostle of free-market capitalism, but rather of a ‘non-capitalist market society’; and it uses this to make the case that since China’s economic development takes place outside the European/North American capitalist ‘core’, it must, almost by definition, not be capitalist. Markets are conceived here as the instruments of states, yet the theory of the state advanced is severely undeveloped. Arrighi’s argument that China’s economic development is part and parcel of the demise of the US project for establishing itself as the ‘world state’ misinterprets the nature of the US empire as well as misses the extent of China’s integration with US-led capitalist globalisation.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.025
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.015
Scholarly communication0.0040.005
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.025
GPT teacher head0.307
Teacher spread0.282 · 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 designTheoretical or conceptual
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

Citations26
Published2010
Admission routes1
Has abstractyes

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