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Record W2131309288 · doi:10.1177/0010414010396460

Shadows From the Past: Party System Institutionalization in Asia

2011· article· en· W2131309288 on OpenAlexafffund
Allen Hicken, Erik Martinez Kuhonta

Bibliographic record

VenueComparative Political Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsMcGill University
FundersMcGill University
KeywordsInstitutionalisationAuthoritarianismDemocracyPolitical economyPolitical scienceCrucible (geodemography)DemocratizationSociologyPublic administrationLawPolitics

Abstract

fetched live from OpenAlex

This article explains variation in levels of party system institutionalization in Asia by testing available data against several major hypotheses in the literature. The authors make three contributions to the literature on party system institutionalization. First, this study finds that historical legacies are a crucial variable affecting current levels of party system institutionalization. In particular, the immediate postwar period was the crucible from which institutionalized party systems in Asia developed. Second, the authors claim that for a significant number of institutionalized party systems, historical legacies are rooted in some element of authoritarianism, either as former authoritarian parties or as semidemocratic regimes. Third, precisely because authoritarianism has played an important role in the origins of institutionalized party systems, the authors argue that the concept of institutionalization needs to be strictly separated from the concept of democracy.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.004
Scholarly communication0.0030.002
Open science0.0000.003
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 head0.281
GPT teacher head0.404
Teacher spread0.123 · 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 designObservational
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

Citations167
Published2011
Admission routes2
Has abstractyes

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