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Record W4385629037 · doi:10.1561/109.00000030

Rethinking State Capitalism: A Cross-Disciplinary Perspective on the State’s Role in the Economy

2023· article· en· W4385629037 on OpenAlexaff
Anna Grosman, Gerhard Schnyder, Álvaro Cuervo-Cazurra, Ilya Okhmatovskiy, Geoffrey Wood

Bibliographic record

VenueAnnals of Corporate Governance · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicState Capitalism and Financial Governance
Canadian institutionsWestern University
Fundersnot available
KeywordsCapitalismPerspective (graphical)State (computer science)DisciplineEconomic systemState capitalismCross disciplinaryPolitical scienceSociologyEconomicsSocial scienceData scienceComputer sciencePolitics

Abstract

fetched live from OpenAlex

We review the multidisciplinary literature on state capitalism and the firm to advance the theoretical foundations of the role of the government as an owner of firms. We explain state capitalism, how it has been theorized, how types of states affect choices within and between organizations, and the implications of government involvement on firm corporate governance structures and processes. Drawing on political economy, finance, and public administration literature, we clarify the alternative views of the role of government as an economic agent, the role of states in managing and preserving the natural world, and the tools of state capitalism in times of crisis. Based on our review, we identify four main venues for future research: investigating new types of state capitalism and their variety; studying the multilevel nature of state capitalism in a particular interaction between mechanisms of state capitalism at different levels (e.g., regulation and state-ownership); analyzing the contextuality of state capitalism; and examining similarities of state capitalism across countries.

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 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)0.000
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 score0.294
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

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

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 head0.075
GPT teacher head0.288
Teacher spread0.214 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2023
Admission routes1
Has abstractyes

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