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Record W7132864657

Branding the Regime: China’s Soft Regime Promotion in the post- Reform Era

2020· dissertation· W7132864657 on OpenAlexaff
Yao Wen

Bibliographic record

VenueTSpace · 2020
Typedissertation
Language
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChinaPromotion (chess)IdeologyStatus quoAuthoritarianismLegitimacyState (computer science)
DOInot available

Abstract

fetched live from OpenAlex

Little evidence suggests that the rising China is engaged in regime promotion as did historical cases. Given the seeming non-finding, what has China been actively doing to influence other regimes? How does it do it? Why does China’s approach to regime promotion assume the particular form? This dissertation argues that China indeed does not promote its regime in the conventional sense – to proselytize its regime and instigate regime change abroad. Instead, China engages in “soft regime promotion” – the active dissemination of knowledge about its regime aimed primarily at branding the regime as successful, competent, and peculiar. In the current system, the low status of an authoritarian regime poses an existential challenge to its legitimacy and survival. Thus, status pursuit is a crucial motive behind soft regime promotion that is under-studied in the existing literature. China’s soft regime promotion corresponds to the status enhancement pathway of social creativity: it targets a reference group to its advantage, the developing countries; it shelves the factor of regime type and attaches importance to issues of state governance; and it puts a premium on the role of the state as well as a competent ruling party. China’s soft regime promotion is rooted in the regime’s self-understandings. Absent a coherent regime ideology, the Communist Party of China has come to enshrine itself as the defining feature of the regime and boasted about its achievements in governing China. China’s ideological status quo not only precludes the proselytizing of a wholesale model, but also shapes the “space of possibilities” in which agents of regime knowledge transfer “improvise” varied knowledge about the Chinese regime. China specifically engages in the conspicuous giving of regime knowledge – hosting training and exchange activities for elites from developing countries. This is done through two major channels: in the name of the state, China hosts degree education programs and training programs under the banner of foreign aid; and in the name of the Party, various formats of exchange activities have been held. Within and across both channels, variations are found in the regime knowledge transferred and the dynamics of principal-agent relationships.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.006
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.327
Teacher spread0.308 · 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 designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

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