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Record W2016408279 · doi:10.1177/0009445514557389

Consolidation of the PRC’s Leadership Succession System from Hu Jintao to Xi Jinping

2015· article· en· W2016408279 on OpenAlexaff
Yijiang Ding

Bibliographic record

VenueChina Report · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsChinaEliteConsolidation (business)Ecological successionCollective leadershipPoliticsCommunismPolitical sciencePolitical economyState (computer science)Power (physics)Public administrationSociologyLawEconomics

Abstract

fetched live from OpenAlex

The People’s Republic of China went through a peaceful and orderly transfer of power from November 2012 to March 2013, the second one in its 64-year history. The first one was the 2002–3 change of leadership from Jiang Zemin to Hu Jintao. While largely following the same pattern, the recent leadership change, from Hu Jintao to Xi Jinping, illustrated a few interesting and potentially significant differences even as the succession system was further consolidated. This article compares the recent leadership change with the previous one, analyses the differences and discusses their political implications. The increasingly institutionalised procedure for China’s leadership succession now features the state leaders’ tenure being limited to two consecutive five-year terms, and the choice of successors through a gradually broadening elite consensus. For the Chinese Communist Party, the purpose of the term limit is to prolong its one-party rule by having orderly power transfers and avoiding succession crises. The limited term of office is likely to contribute to China’s political stability while promoting a degree of institutionalised intra-party factional competition.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.312
Teacher spread0.236 · 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 designQualitative
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

Citations3
Published2015
Admission routes1
Has abstractyes

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