MétaCan
Menu
Back to cohort

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

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

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

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

<ns4:p>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.</ns4:p>

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)0.017
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.887
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0100.004
Scholarly communication0.0000.000
Open science0.0030.003
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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