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From Club to Network Diplomacy

2013· book· en· W2512735 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOxford University Press eBooks · 2013
Typebook
Languageen
FieldSocial Sciences
TopicCybersecurity and Cyber Warfare Studies
Canadian institutionsBalsillie School of International Affairs
Fundersnot available
KeywordsDiplomacyClubPolitical scienceGeologyLawPolitics

Abstract

fetched live from OpenAlex

Abstract This article develops the following arguments: (1) globalization, that is, the sustained increase in trans-border flows of goods, services, capital, images, and data has changed many things in our interaction with the international environment. (2) These changes are partly related to technological changes in communications and transport, and are also due to the changing nature of the international system under the twin pressures of the compression of time and space created by globalization. (3) The disconnect between these increased international flows and the lack of suitable global governance institutions and mechanisms to deal with the challenges created by them has added numerous issues to the international agenda, with which often understaffed and underfunded foreign ministries find it increasingly hard to cope. (4) Paradoxically, at a time when these international challenges appear to be especially urgent, foreign ministry budgets are being cut, thus making it even more difficult to cope with these challenges. (5) One reason for this is the lack of institutional and behavioural adaptation by foreign ministries and diplomats themselves to this new environment. (6) The main features of ‘network diplomacy’ are elaborated on, as are the conditions under which they are especially pertinent.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.488
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.022
GPT teacher head0.248
Teacher spread0.227 · 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