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Record W2076166128 · doi:10.1080/0951274032000132254

The Internet and Asia-Pacific security: Old conflicts and new behaviour

2003· article· en· W2076166128 on OpenAlexaff
Cameron Jay Ortis, Paul Evans

Bibliographic record

VenueThe Pacific Review · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicCybersecurity and Cyber Warfare Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsThe InternetGovernment (linguistics)Political scienceAsia pacificCivil societyPublic relationsBusinessInternational tradePoliticsLawComputer science

Abstract

fetched live from OpenAlex

The positive uses of the Internet by civil society groups, research ­institutes, governments and other entities interested in promoting Asia-Pacific community building and cooperative security regimes have been studied and ­appreciated. The paper begins with a discussion of regional Internet diffusion patterns and the associated increase in Internet incidents. In the wake of 11 September 2001 and recent analysis of the 'dark side' of the Internet and networks, it then examines some of the destructive ways Internet technologies are being used by actors in the Asia-Pacific region. It provides examples from the patterns of Internet conflict involving a quadral relationship among four nodes, uncivil society, civil society, government and business as well as the pattern of conflict within each of the nodes. Finally, it looks at three topic areas - national security agendas, the making of security policy and the regional security dialogue process - that deserve further attention.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0020.010
Scholarly communication0.0070.009
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.034
GPT teacher head0.301
Teacher spread0.267 · 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

Citations7
Published2003
Admission routes1
Has abstractyes

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