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Record W4389614092 · doi:10.1177/00207020231217117

China's Technical Standardization Power—a Challenge for NATO?

2023· article· en· W4389614092 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.

fundA Canadian funder is recorded on the work.
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

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2023
Typearticle
Languageen
FieldEngineering
TopicTechnology Assessment and Management
Canadian institutionsnot available
FundersMinistère de la Défense Nationale
KeywordsStandardizationChinaGeopoliticsGlobalizationPolitical scienceGreat powerPower (physics)Computer securityInternational tradeBusinessPublic administrationComputer scienceLaw

Abstract

fetched live from OpenAlex

Technical standardization has turned into a central subject of geopolitical contestation. At first glance, this might be surprising as technical standards follow an inclusive logic of action and are legally non-binding. However, China has adopted a state-centric approach to standardization that stands in sharp contrast to the private actor driving practice in the West. This allows China to link its standardization efforts not least to its security interests. In fact, standards are not only relevant to ensure the convergence of defense technology. Standards can also unfold security relevance if they create lock-in dependencies and prevent or enable the globalization of backdoors. NATO could react to China's growing standardization power by establishing an information exchange platform, avoid excessive politicization of standard-setting and make sure not to overestimate the risks.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.828
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.005
GPT teacher head0.289
Teacher spread0.284 · 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