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Record W2104730993 · doi:10.1017/s1537592713002090

The Strength to Concede: Ruling Parties and Democratization in Developmental Asia

2013· article· en· W2104730993 on OpenAlexaff
Dan Slater, Joseph Wong

Bibliographic record

VenuePerspectives on Politics · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in Asia
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDemocratizationAuthoritarianismDictatorshipDemocracyPolitical economyPoliticsPolitical scienceChinaLegitimationDevelopment economicsEconomicsLaw

Abstract

fetched live from OpenAlex

Authoritarian ruling parties are expected to be exceptionally resistant to democratization. Yet some of the strongest authoritarian parties in the world have not resisted democratization, but have embraced it. This is because their raison d'etre is to continue ruling, not necessarily to remain authoritarian. Democratization requires that ruling parties hold free and fair elections, but not that they lose them. Authoritarian ruling parties can thus be incentivized to concede democratization from a position of exceptional strength as well as extreme weakness. This “conceding-to-thrive” scenario is most likely to unfold when regimes (1) possess substantial antecedent political strengths and resource advantages, (2) suffer ominous setbacks signaling that they have passed their apex of domination, and (3) pursue new legitimation strategies to arrest their incipient decline. We illustrate this heretofore neglected alternative democratization pathway through a comparative-historical analysis of three Asian developmental states where ruling parties have democratized from varying positions of considerable strength: Taiwan, South Korea, and Indonesia. We then consider the implications of our analysis for three “candidate cases” in developmental Asia where ruling parties have not yet conceded democratization despite being well-positioned to thrive were they to do so: Singapore, Malaysia, and the world's most populous dictatorship, China.

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)0.002
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 score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.007
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0000.001
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 head0.021
GPT teacher head0.293
Teacher spread0.272 · 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

Citations222
Published2013
Admission routes1
Has abstractyes

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