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Record W4320028658 · doi:10.32674/jcihe.v14i5.4987

Nexus of Public Diplomacy, Soft Power, and National Security: A Comparative Study of International Education in the U.S. and Canada

2022· article· en· W4320028658 on OpenAlexaffabout
Roopa Desai Trilokekar, Hani El Masry

Bibliographic record

VenueJournal of Comparative & International Higher Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsUniversity of WaterlooYork University
Fundersnot available
KeywordsSoft powerNexus (standard)GeopoliticsDiplomacyPublic diplomacyContext (archaeology)Foreign policyPolitical sciencePower (physics)National securityState (computer science)Public administrationGeographyEngineeringChinaLawPoliticsComputer science

Abstract

fetched live from OpenAlex

This paper examines how international education (IE), as an important tool of public diplomacy (PD) and soft power (SP), faces unique challenges as issues of national security (NS) become more prominent in this era of new geopolitics. It presents a model to understand the relationship between PD, SP and NS and then applies this model to a comparative study. The contrasting histories, approaches and perspectives of IE as it operates as a component of foreign policy and at the nexus of PD, SP and NS in both the U.S. and Canada are analysed. The paper concludes with three challenges faced by IE in the contemporary context: first, the diminishing role of the university as a distinct and valued non-state actor; second, the weakening of foreign policy as an outward looking, distinctly international investment; and third, the problem with choosing isolation over engagement as a strategy.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.051
GPT teacher head0.410
Teacher spread0.359 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations3
Published2022
Admission routes2
Has abstractyes

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