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Record W2593397345 · doi:10.1017/s1474745617000210

A Network Anatomy of Chinese State-Owned Enterprises

2017· article· en· W2593397345 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

VenueWorld Trade Review · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCorporate governanceUnobservableChinaState (computer science)Context (archaeology)GlobalizationBusinessEconomic systemLaw and economicsPolitical scienceMarket economySociologyEconomicsLawFinanceComputer science

Abstract

fetched live from OpenAlex

Abstract This Article provides an anatomy of Chinese state-owned enterprises (SOEs) by unpacking their various relations with different types of state organs. It shows that Chinese SOEs are embedded in a network composed of dense and complex links with the state. Shareholding ties, albeit important, are only one of the many relations with the state. This network perspective provides a rather comprehensive overview of the basic architecture of China's state-owned sector. It illustrates important governance institutions that are unobservable from the laws on the book and distinctive from international standards. It clarifies some SOE behaviors that appear puzzling when taking the individual firm as the unit of analysis. It also raises challenging questions on various areas of law in the context of globalization.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.711
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

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

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 head0.025
GPT teacher head0.278
Teacher spread0.254 · 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