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Record W2801494106 · doi:10.1080/11926422.2018.1463100

Neither adapting nor innovating: the limited transformation of Canadian foreign trade policy since 1984

2018· article· en· W2801494106 on OpenAlexaffabout
Christopher J. Kukucha

Bibliographic record

VenueCanadian Foreign Policy Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Social Dynamics in Chile and Latin America
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsBureaucracyOffensivePoliticsInternational tradeFederalismCommercial policyLimitingBusinessEconomicsInternational economicsEconomic policyPolitical science

Abstract

fetched live from OpenAlex

Canada failed to respond with innovative solutions to shifting international economic pressures emerging in the 1970s. Canadian trade policy embraced offensive solutions in areas of comparative advantage but not in sectors with high political and economic costs, thereby limiting opportunities to join emerging supply chains outside of North America and hampering goals of reducing reliance on the American market. International trade disputes resulting from these policies also restricted innovation, as did the structures of Canadian federalism, Canada’s regional political economy, the country’s industrial policy and internal trade regimes, limits on bureaucratic capacity, and pressures from non-governmental interests. Where innovation did exist, it occurred incrementally and asymmetrically across sectors, while usually prioritizing offensive economic interests.

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)0.005
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.295
Threshold uncertainty score0.817

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0190.010
Scholarly communication0.0110.003
Open science0.0020.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.000

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 head0.036
GPT teacher head0.305
Teacher spread0.270 · 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 designQualitative
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
Published2018
Admission routes2
Has abstractyes

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