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Record W2323839654 · doi:10.5539/ach.v8n2p18

Understanding China’s Economic Success: “Embeddedness” with Chinese Characteristics

2016· article· en· W2323839654 on OpenAlex
Xing Li

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAsian Culture and History · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsEmbeddednessChinaSociologyEconomic geographyEconomic growthEconomicsPolitical scienceSocial science

Abstract

fetched live from OpenAlex

<p class="1Body">This study attempts to provide a framework for understanding the role of the “embeddedness” in China’s economic success reflected by a unique embedded integration of state-market-society relations. “Embeddedness with Chinese characteristics” is the central concept of this study for analyzing how cultural and political uniqueness influences economic activities and shapes distinctive institutional forms. In order to grasp the factors behind the Chinese economic success, it is important to understand how the disembedded forces of marketization and commodification were balanced by the embedded forces of socio-cultural and political structures. These historically and culturally shaped structures, such as the active role of the state and local governments, the variety of forms of property and business ownership, the traditional culture of clientele-based social relations, etc., provide rich empirical context to explain and analyze the “embedded” hegemony in transitional China. The first part of the this paper provides a conceptual framework for understanding socio-cultural and political embeddedness in China and the second part analyzes some characteristics of the state-market-society embedded process during its economic development in the past decades. The conclusion is that China’s economic reform and success manifest a long and innovative grinding-in process of state-market-society relations.</p>

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 score0.774
Threshold uncertainty score0.683

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.052
GPT teacher head0.194
Teacher spread0.141 · 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