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Record W2131258232 · doi:10.1177/0192512105050380

Re-Making the Developmental State in Taiwan: The Challenges of Biotechnology

2005· article· en· W2131258232 on OpenAlexaff
Joseph Wong

Bibliographic record

VenueInternational Political Science Review · 2005
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsUniversity of Toronto
FundersNational Institutes of HealthNational Health Research Institutes
KeywordsDevelopmental stateState (computer science)PoliticsDemocracyEconomic transformationIndustrial policyEconomic systemPolitical scienceBiotechnologyEconomic growthBusinessEconomicsInternational tradeBiology

Abstract

fetched live from OpenAlex

Taiwan has embarked on a new post-industrial or post-manufacturing industrial trajectory, targeting specifically biotechnology and the bio-business sector. Technological innovation has become the key imperative in Taiwan’s continued economic transformation. This transition invites a rethinking of the East Asian developmental state model and in particular the state’s role in leading knowledge-intensive industrial development. The article first offers a framework of analysis for the post-industrial developmental state, followed by an overview of the emerging biotechnology sector in Taiwan. The bulk of the article examines different political, economic and social challenges faced by the developmentally oriented state. The concluding section discusses how the interventionist state has begun to adapt in post-industrial and democratic Taiwan.

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)0.004
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.010
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.057
GPT teacher head0.394
Teacher spread0.337 · 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 designTheoretical or conceptual
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

Citations60
Published2005
Admission routes1
Has abstractyes

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