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Record W2046239748 · doi:10.1080/02255189.2002.9668857

Taming a Leviathan: Geopolitics, State Power and the Making of a Development Regime in Taiwan

2002· article· en· W2046239748 on OpenAlex
Ming‐Chang Tsai

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Development Studies/Revue canadienne d études du développement · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Industrial and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsGeopoliticsDevelopmental stateLEVIATHAN (cipher)State (computer science)IncentivePower (physics)Government (linguistics)Economic systemPolitical scienceMiraclePolitical economyEconomicsDevelopment economicsNeoclassical economicsMarket economyLawPolitics

Abstract

fetched live from OpenAlex

ABSTRACT The current debate on Taiwan's development has been dominated by the statist perspective that identifies state power as a key to its growth miracle. The paper challenges this statist idea. By analyzing the evolving process of the developmental state from a predatory government in the 1950s and early 1960s, we argue that the imposing of constraints on the despotic power of the state constitutes a key mechanism by which a balanced power structure between the state and capital is formed and the private sector can develop and benefit from policy incentives. The taming of a Leviathan state and the shift from a war economy toward a developmental regime were a result of strong U.S. geopolitical intervention.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.070
GPT teacher head0.252
Teacher spread0.183 · 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