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Record W2584964891 · doi:10.1017/s0305741016001569

Reforming China's State-owned Enterprises: From Structure to People

2017· article· en· W2584964891 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

VenueThe China Quarterly · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsChinaEliteProfessionalizationState capitalismBusinessMarket economyState (computer science)CommunismCorporate governanceEconomic systemCapitalismState ownedHuman resource managementAccountingEconomicsPolitical scienceFinanceManagementPolitics

Abstract

fetched live from OpenAlex

Abstract The Chinese Communist Party has recently unveiled its new agenda for state-owned enterprise (SOE) reform. Most attention to date has focused on structural reform through the so-called “mixed ownership” policy. This article is to direct attention to a critically important yet much less analysed item on the SOE reform agenda: the professionalization of the SOE executive personnel. This article provides an empirical study on the managerial elite of China's financial and non-financial SOEs. The findings suggest a politically constrained management approach in the Chinese state-owned sector. Moreover, an innovative analysis of the SOE executive career patterns reveals that the state-controlled banks and industrial SOEs employ divergent human resource management methods. The anatomy of the SOE managerial elite in this article provides a timely evaluation of the recent SOE reform policy and a richer understanding of China's state-owned sector from a comparative capitalism perspective.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.863
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0020.000
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 head0.007
GPT teacher head0.268
Teacher spread0.262 · 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