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Record W2511728272 · doi:10.1177/0020702016662794

Dollars and sense? The Harper government, economic diplomacy, and Canadian foreign policy

2016· article· en· W2511728272 on OpenAlexaffabout
Asa McKercher, Leah Sarson

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsQueen's UniversityMcMaster University
Fundersnot available
KeywordsDiplomacyEconomic diplomacyForeign policyGovernment (linguistics)Political sciencePublic administrationPolitical economyInternational relationsEconomicsLawPolitics

Abstract

fetched live from OpenAlex

Over its near-decade of governance, Canada’s Conservative government developed an international agenda that narrowly construed international engagement as economic diplomacy. Rooted in the Conservatives’ desire to establish themselves with voters as shrewd stewards of the Canadian economy, economic and commercial calculations took precedence, trumping even military spending and the Arctic, both defining portfolios for Prime Minister Stephen Harper. We demonstrate the economic essence of the Conservative government’s international agenda and examine outcomes related to trade, the extractive resource sector, and the Canada–US relationship. We argue that the dramatic overhaul of Canada’s public diplomacy, strategic and security agendas, and global cooperation initiatives was a result of a limited conception of foreign policy that prioritized economic and commercial objectives. The legacy of economic diplomacy is a renewed focus on the question of international engagement as a means to a Canadian end as a new Liberal government contends with the consequences of economic diplomacy.

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)0.001
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: none
Teacher disagreement score0.681
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
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 head0.007
GPT teacher head0.281
Teacher spread0.274 · 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 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

Citations9
Published2016
Admission routes2
Has abstractyes

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