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Record W2481380059 · doi:10.1017/cbo9780511781353.009

Diverging Outcomes in Asia

2010· book-chapter· en· W2481380059 on OpenAlexaff
Steven Levitsky, Lucan A. Way

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLeverage (statistics)DemocratizationPolitical scienceDevelopment economicsOpposition (politics)BusinessEconomic growthInternational tradeGeographyDemocracyEconomicsPoliticsLaw

Abstract

fetched live from OpenAlex

Our three Asian cases – Cambodia, Malaysia, and Taiwan – are diverse. Unlike the Americas or Eastern Europe, they did not share a common international environment. Western leverage was high in Cambodia but lower in Malaysia and Taiwan. Linkage ranged from low in Cambodia to medium in Malaysia to high in Taiwan. These differences had an important impact on regime trajectories. In Malaysia and Taiwan, ruling parties possessed considerable organizational power. However, whereas the Malaysian government used its coercive capacity to thwart opposition challenges at relatively low external cost, Taiwan's high linkage – and distinctive need to retain its international standing with the United States – induced the KMT government to underutilize its coercive capacity, which eventually led to democratization. In Cambodia, where state and party structures were weaker and Western leverage was higher, external intervention nearly dislodged the former communists from power in 1993. Over time, however, international attention faded, and within this more permissive international environment, effective state- and party-building permitted authoritarian reconsolidation. TAIWAN Taiwan's democratization was, in part, a story of modernization. Industrialization under the Kuomintang (KMT) led to the growth of a large middle class and a vigorous civil society, which eventually undermined single-party rule. Yet Taiwan's democratization also had a top-down character. Indeed, many scholars have highlighted the role of Presidents Chiang Ching-kuo and Lee Teng-hui in initiating and carrying out political reform.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0000.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.023
GPT teacher head0.240
Teacher spread0.217 · 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
GenreOther

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
Published2010
Admission routes1
Has abstractyes

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