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Record W4293772642 · doi:10.5509/2022953527

Failed Autocratization: Malaysia under Najib Razak (2009-2018)

2022· article· en· W4293772642 on OpenAlexvenueno aff
Andreas Ufen

Bibliographic record

VenuePacific Affairs · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsLegitimationAuthoritarianismLegitimacyOpposition (politics)Prime ministerPolitical sciencePolitical economyPoliticsLanguage changeComplementarity (molecular biology)MalayLawSociologyDemocracy

Abstract

fetched live from OpenAlex

Malaysian Prime Minister Najib Razak's systematic strategy of autocratization backfired. This paper is based on a model of three pillars of authoritarian regimes. It traces the di erent strategies and measures employed to weaken the opposition and shows that major survival strategies were prone to frequent shifts. At the beginning of his tenure, Najib depicted himself as a reformer, and refined some forms of repression. The regime scrapped central coercive tools such as the Internal Security Act, but later replaced them with kindred, yet ine ective measures. Co-optation was more centralized and "money politics" expanded. The widespread and unprecedented usage of patronage resulted in corruption, which fundamentally destabilized the regime. Legitimation was modified since 2013 to a more Malay-centric and Islamist discourse. Because of this shift, legitimation eroded among ethnic and religious minorities. The prime minister's legitimacy shrank due to corruption scandals. This paper helps gauge the lacking complementarity of the pillars and the failures of an authoritarian regime in crisis, which is important also with a view to political developments in Malaysia since 2018.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.946
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.015
GPT teacher head0.244
Teacher spread0.229 · 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 teacher head, not a consensus.

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

Citations4
Published2022
Admission routes1
Has abstractyes

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