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Record W2942445558 · doi:10.1163/1871191x-14101011

Adapting Public Diplomacy to the Populist Challenge

2019· article· en· W2942445558 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

VenueThe Hague Journal of Diplomacy · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Relations and Crisis Communication
Canadian institutionsBalsillie School of International AffairsUniversity of Waterloo
Fundersnot available
KeywordsPublic diplomacyPopulismDiplomacyPolitical sciencePolitical economyForeign policyReputationIncentivePublic opinionPoliticsTechnocracyPublic administrationPublic relationsSociologyLawEconomics

Abstract

fetched live from OpenAlex

Summary Public diplomacy has been externally directed via a strategy of assertive reputation-building. In an era of insurgent populism, this model faces strong backlash, driven by the image of public diplomacy being disconnected from domestic publics. Under these conditions, an opportunistic set of ascendant political leaders — even those located at the international system’s core — have considerable incentive to diminish ‘their’ own diplomats as part of a wider campaign to stigmatize the traditional establishment. While more attention needs to be directed to the causes of this disconnection between diplomats and public, this article highlights a number of key ingredients in a menu of adaptation to the populist challenge. Above all, the focus of engagement in public diplomacy should be broadened to include domestic as well as foreign audiences. Disruption, it must be emphasized, does not mean the end of public diplomacy. Rather, public diplomacy must take a domestic turn.

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)0.004
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score0.781

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.000
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 head0.042
GPT teacher head0.342
Teacher spread0.300 · 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