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Record W2796183937

American Trade News Highlights for Winter, 2013 Costco Cashews: How Much Roasting Makes Them American for Purposes of NAFTA Preferential Tariff Treatment by Canada

2014· article· en· W2796183937 on OpenAlexaboutno aff
Vanessa Humm

Bibliographic record

VenueSMU Scholar (Southern Methodist University) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsTariffRoastingInternational tradePolitical scienceFree trade agreementInternational economicsEconomicsFree tradeChemistry
DOInot available

Abstract

fetched live from OpenAlex

HE Canada Border Services Agency (CBSA) recently ruled that the reduced tariffs under the North American Free Trade Agreement (NAFTA) do not apply to Costco cashews.' Costco Wholesale Canada Ltd. (Costco) appealed the ruling, and the Canadian International Trade Tribunal (CIT-) held a public hearing to consider the appeal on October 24, 2013.2This is not the first appeal Costco has made of a CBSA classification decision of Costco products.For example, Kirkland Signature Trail Mix, a Costco brand trail mix, was the subject of an appeal drawn out over time from 2003 until finally concluding in 2005. 3 This update will discuss the applicable legislation and regulations for the origin of goods, as well as provide a background of the CBSA and the classification process it employs in determining whether a product originates within a NAFTA member country.The background of the CBSA will conclude with a discussion of the CBSA appeals process.The update will then provide a background of the CITT and its functions, with particular emphasis on the CITT appeals process.Finally, the update will provide a summary of a previous CITT decision involving NAFTA coun-*Vanessa Humm is a third-year at SMU Dedman school of Law.She is currently serving as the NAFTA Reporter for the International Law Review Association.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.752
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.029
GPT teacher head0.258
Teacher spread0.229 · 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.

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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

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