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Cyber Technology and the European Union’s Gestaltian Approach to China

2022· article· en· W4283023663 on OpenAlexaff
Reza Hasmath, Una Aleksandra Bērziņa‐Čerenkova

Bibliographic record

VenueStosunki międzynarodowe/Stosunki Międzynarodowe · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCybersecurity and Cyber Warfare Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRealpolitikChinaEuropean unionGeneral partnershipPolitical scienceRealmDiplomacyDimension (graph theory)Political economyInternational tradeEconomic systemEconomySociologyPoliticsEconomicsLaw

Abstract

fetched live from OpenAlex

Contemporary European Union (EU) and China relations are marked by a simultaneously beneficial, conflictual and competitive partnership. This is aptly evident in the cyber technology realm. This paper contends that the European Union’s gestaltian approach towards China can be understood with the aid of three theoretical positions: (1) an institutional perspective; (2) as a values-based actor; and, (3) a realpolitik dimension. The arguments advanced in the paper, ultimately imply that the EU’s approach towards China can provide various EU domestic and global actors’ space to exploit contradictions, notably when it comes to cyber technology diplomacy. This has the attendant effect of fostering future fissures in the EU’s overall engagement with China.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.022
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.241
Teacher spread0.231 · 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 designNot applicable
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

Citations5
Published2022
Admission routes1
Has abstractyes

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Same venueStosunki międzynarodowe/Stosunki MiędzynarodoweSame topicCybersecurity and Cyber Warfare StudiesFrench-language works237,207