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Record W2631272022 · doi:10.1177/0020702017709245

Canadian Foreign Policy from the roaring 1990s

2017· article· en· W2631272022 on OpenAlexaffabout
Bessma Momani

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsForeign policyIncentivePolitical sciencePublishingForeign policy analysisPromotion (chess)Government (linguistics)Identity (music)Foreign relationsPublic administrationPolitical economySociologyEconomicsLawPolitics

Abstract

fetched live from OpenAlex

As a field of study, Canadian Foreign Policy has undergone dramatic changes over the last three decades, becoming disconnected from debates about our identity and values and more focused on Canadian foreign and defence policy. This transition in Canadian Foreign Policy reflects the changing priorities of successive Canadian governments and structural shifts in Canadian academia. Yet, such change has unfolded gradually and incrementally, such that key challenges remain for scholars interested in working, presenting, and publishing in Canadian Foreign Policy. Using my own experiences as a student and teacher of foreign policy in Canada, I reflect on these transformations within Canadian Foreign Policy and their implications, beginning with the “golden age” of Canadian Foreign Policy during the 1990s to its decline under the Harper government and, finally, to our current climate of fragmented academic and professional research. In the current climate, participating in traditional and “new” social media places professional incentives (namely, tenure and promotion via peer-reviewed outlets) in tension with emerging opportunities to engage in more open critical analysis of Canadian Foreign Policy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.328
Threshold uncertainty score0.779

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.007
Science and technology studies0.0280.009
Scholarly communication0.0160.003
Open science0.0010.004
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0150.002

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 head0.014
GPT teacher head0.325
Teacher spread0.312 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2017
Admission routes2
Has abstractyes

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Same venueInternational Journal Canada s Journal of Global Policy AnalysisSame topicCanadian Policy and GovernanceFrench-language works237,207