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Record W2155791002

FROM SOFT POWER TO ECONOMIC DIPLOMACY? A Comparison Of The Changing Rationales And Roles Of The U. S. And Canadian Federal Governments In International Education *

2015· article· en· W2155791002 on OpenAlexfundaboutno aff
Roopa Desai Trilokekar

Bibliographic record

VenueeScholarship (California Digital Library) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
FundersForeign Affairs and International Trade CanadaUniversität Kassel
KeywordsSoft powerDiplomacyPolitical scienceGovernment (linguistics)Education policyComparative educationInternational educationHigher educationPublic administrationPower (physics)Economic growthPublic diplomacyChinaEconomicsPoliticsLaw
DOInot available

Abstract

fetched live from OpenAlex

Through a historical and comparative analysis of international education policy development in Canada and the U.S., this paper will map the similarities and differences in the two countries.It will highlight the contributions and challenges of the government's involvement in international education (IE) in the two federal states and in particular, explore the implications of the changing contexts, rationales and approaches for international education to the federal role in higher education.It will conclude with observations on the differential impact of the federal government's role in international/higher education on the higher education systems of the two countries and thus contribute to our understanding of how national specificities and characteristics outweigh the commonly stated policy rationales, approaches and outcomes for international education.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.998

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.016
GPT teacher head0.271
Teacher spread0.255 · 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 designObservational
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

Citations10
Published2015
Admission routes2
Has abstractyes

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