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Record W1508726722 · doi:10.54648/gtcj2010029

At the Cross-Roads of US and Canadian Trade Controls: The Cuba Conflict

2010· article· en· W1508726722 on OpenAlexaboutno aff
John W. Boscariol

Bibliographic record

VenueGlobal Trade and Customs Journal · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Sanctions and International Relations
Canadian institutionsnot available
Fundersnot available
KeywordsSanctionsInternational tradeEconomic sanctionsContext (archaeology)SurpriseControl (management)BusinessInternational economicsEconomicsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Canada and the United States are each other’s best trading partners. Our supply chains are deeply integrated. Corporate ownership criss-crosses the border many times over. In the context of foreign policy, although we have differed from time to time in the past, we generally target the same list of ‘bad actors’ – Iran, North Korea, Myanmar among them. Indeed, many of our sanctions programmes have been adopted pursuant to the same United Nations Security Council resolutions that are applied in similar fashion by UN member countries. Our controls on the export of goods and transfer of technology arise from our common commitments under the 1996 Wassenaar Arrangement on Export Controls for Conventional Arms, Dual-use Goods, Technology and other international agreements. It should come as no surprise therefore that in this environment many companies impose a single set of rules or principles regarding export controls and doing business with sanctioned countries. Under the assumption that Canadian and US laws are similar and, that any differences arise from more restrictive elements of US policy, a common default approach is for US companies to graft their US-based export control, economic sanctions policies, and procedures on to their Canadian operations; even some Canadian-based companies doing business in the United States will follow this approach. This is problematic for a number of reasons. Contrary to popular belief, Canadian export controls and economic sanctions can be more restrictive than those of the United States – aspects of the control regime for cryptographic goods and technology and the rules governing trade with and investment in Myanmar are two such examples. More importantly, there are instances in which there is direct conflict between Canadian and US law – that is, compliance with the requirements of one nation’s laws results in contravention of the laws of the other. Two examples of such conflict arise with US military controls under the International Traffic in Arms Regulations and Canadian human rights legislation and with Cuban trade and investment. The latter conflict is the focus of this article.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.080
Threshold uncertainty score0.584

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0200.005
Scholarly communication0.0100.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.000

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 head0.022
GPT teacher head0.244
Teacher spread0.222 · 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
Published2010
Admission routes1
Has abstractyes

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