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Record W3082686567 · doi:10.1080/23812346.2020.1807889

Rethinking China’s quest for railway standardization: competition and complementation

2020· article· en· W3082686567 on OpenAlex
Karl Yan

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

VenueJournal of Chinese Governance · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChinaCompetitor analysisStandardizationCompetition (biology)International tradeBusinessCorporate governanceCorporationPolitical scienceEconomyEngineeringEconomicsFinanceMarketing

Abstract

fetched live from OpenAlex

The Railroad Economic Belt (REB, yilu yidai) was initiated by the China Railway Corporation to support the Belt and Road Initiative (BRI). The goal of REB is to enhance interconnectivity and deepen the BRI’s infiltration through the export of ‘China Standards’ (zhongguo biaozhun) in railway development. This paper focuses on China’s export of the ‘China Standard’ in highspeed rail and the further integration of Eurasia through the China Railway Express (zhong’ou banlie). It examines their implications on the global highspeed rail market and global logistics governance, respectively. Indeed, China can become a rule-maker in some functional domains of global governance. This paper argues that the expansion of Chinese standards has been done through a ‘top-level design’ approach. Chinese economic statecraft focused on strengthening policy guidance and power concentration at the central level. Standards that are competing in nature face daunting challenges as they have receive backlashes from international competitors. On the other hand, those that are complementary have been much more receptive to international actors.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score0.307

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 communication0.0000.001
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 head0.018
GPT teacher head0.236
Teacher spread0.219 · 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