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Record W4310341900 · doi:10.1515/zfw-2022-0036

National identities and cross-strait relations: challenges to Taiwan’s economic development

2022· article· en· W4310341900 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

VenueZFW – Advances in Economic Geography · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Industrial and Economic Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsProsperityChinaDilemmaInternational relationsPolitical scienceNational securityState (computer science)PoliticsWorld economyNational identityEconomyDevelopment economicsEconomic systemPolitical economyEconomicsEconomic growth

Abstract

fetched live from OpenAlex

Abstract In the increasingly volatile global political order, national economic structures and international relations, integrated as they are, are showing concerning signs of strain. Taiwan, whose world-leading semiconductor industry is indispensable in Global Supply Chains and whose economic prosperity and security are critical to a stable global economic system, has received much research interest since the late 1980s. Against the background of a slowing Taiwanese economy, starting in the 2000s, this paper seeks to investigate the causes of Taiwan’s challenges and the linkages to the global economy vis-à-vis China. Based on previous research from different social science disciplines, this paper shows that Taiwan’s economic performance has been undermined by the declining effectiveness of its industrial policy and the general state intervention in the country, which is in turn caused by deep socio-political divisions on issues of national identity and Taiwan-China relations. The paper reveals the dilemma, which results from this.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.838
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.294
Teacher spread0.271 · 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