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Technovation in Taiwan: Implications for Industrial Governance

2006· article· en· W2050600158 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGovernance · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Industrial and Economic Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDevelopmental stateIndustrialisationGovernment (linguistics)Corporate governanceChinaState (computer science)Political scienceIndustrial policyEast AsiaEconomic systemEconomyPolitical economyEconomic growthBusinessEconomicsInternational tradeManagementPoliticsLaw

Abstract

fetched live from OpenAlex

No longer able to compete with China and Southeast Asian economies on the basis of cheap skilled labor, Taiwan has begun to explore new industrial sectors, such as biotechnology and the life sciences more generally, as key areas for development. The notion that biotech has been “targeted” by the government naturally conjures up images of the postwar developmental state and its mechanisms for industrial governance. Indeed, the resiliency of the East Asian developmental state model has been the focus of much recent debate ( Wong 2004 ), which begets the question: Does the developmental state still matter in Taiwan, and if so, specifically what role can it play? The government’s current effort in facilitating biotech industrialization provides an idea case through which to reappraise the developmental state, and specifically its role in leading industrial transformation in this uniquely knowledge‐intensive sector.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.803
Threshold uncertainty score0.522

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.044
GPT teacher head0.278
Teacher spread0.234 · 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